JP2010048768A - Time calibration signal receiving apparatus, radio wave correcting timepiece, and time calibration signal receiving method - Google Patents

Abstract

Provided is a standard radio wave receiver capable of effectively removing noise without reducing the accuracy of bit synchronization when receiving and decoding a standard radio wave.
A radio-controlled timepiece includes an antenna that receives a standard radio wave, a receiving circuit that outputs a time code signal, and a processing means. The processing means 5 includes a sampling processing unit 54 that samples the time code signal at a predetermined cycle, and the number of H level signals or L level signals in a predetermined number of sampling data including the sampling data to be processed. A noise removal processing unit 55 for setting each sampling data to an H level signal or an L level signal, and a time code signal based on each processed sampling data set to an H level signal or an L level signal by the noise removal processing unit 55 A decoding processing unit 57 that performs decoding processing.
[Selection] Figure 1

Description

  The present invention relates to a standard radio wave receiving apparatus, a radio wave correction watch, and a standard radio wave receiving method that receive a standard radio wave having time information and acquire time data based on the received standard radio wave.

A standard radio wave receiver that receives a standard radio wave having time information is known (see, for example, Patent Document 1). In such a standard radio wave receiver, if noise contained in the received signal can be removed, reception sensitivity can be improved and correct time information can be acquired.
For this reason, in Patent Document 1, the time code signal is sampled at a sampling period finer than a predetermined bit period. The sampling data obtained by this sampling processing is convolutionally added every predetermined bit period (every predetermined area) to obtain an added value. A method of removing noise by a method of decoding a signal in the area using a waveform obtained by averaging the added values is shown.

JP 2006-153626 A

By the way, in the noise removal method of Patent Document 1, if the predetermined bit period is set finely, the effect of noise reduction decreases, while if the predetermined bit period is set large, the noise removal effect increases. Therefore, in order to improve the noise removal effect, it is desirable to set a large predetermined bit period.
However, if the predetermined bit period is increased, the determination of the position of the falling edge of the received signal becomes rough, resulting in a problem that the accuracy of bit synchronization is lowered.

For example, in FIG. 7B of Patent Document 1, a predetermined bit period is set to 10 Hz, and sampling at 100 Hz is performed for each bit period to obtain an area average. In this method, as shown in FIGS. 15 and 16, 10 sampling data are included in an area of 100 msec.
Here, for example, even when most of the 10 sampling data are at the H level and some of the sampling data are at the L level due to noise, the 10 areas can be determined as the H level. The noise can be removed. Therefore, in this case, noise of up to five sampling data, that is, noise of up to 50 msec can be removed.

  However, the rising timing of the waveform after area averaging varies depending on the timing of dividing each area up to 100 msec. That is, in FIGS. 15 and 16, (A) is a signal waveform before noise removal, (B) is 100 Hz sampling data, and the range indicated by the arrow below it is the range of each area. Here, in FIG. 15 and FIG. 16, the area range is shifted by one sampling data. Then, when the averaging process is performed for each area, the result shown in (D) is obtained, and the falling timing is shifted by 100 msec in FIGS. 15 and 16 as shown in the signal waveform of (E). . For this reason, the area averaging process of Patent Document 1 has a problem that the bit synchronization process for detecting the falling position of the 1-second cycle cannot be accurately performed, and the accuracy of the bit synchronization is lowered.

  SUMMARY OF THE INVENTION An object of the present invention is to solve the above-mentioned problems, and a standard radio wave receiver capable of effectively removing noise without reducing the accuracy of bit synchronization when receiving and decoding a standard radio wave It is to provide a radio wave correction watch and a standard radio wave reception method.

  The standard radio wave receiver of the present invention is a standard radio wave receiver that receives a standard radio wave on which a time code is superimposed, receives the standard radio wave, and binarizes the received signal into an H level or an L level. Receiving means for outputting the time code signal obtained in this way, and processing means for processing the time code signal, the processing means, a sampling processing unit for sampling the time code signal at a predetermined period; Based on the number of H level signals or L level signals in a predetermined number of sampling data including a plurality of sampling data sequentially selected from a plurality of sampling data obtained by the sampling processing unit. Noise that sequentially sets each sampling data to be processed to H level signal or L level signal And a decoding processing unit for performing a decoding process of the time code signal based on each processed sampling data set to the H level signal or the L level signal by the noise removal processing unit. .

According to the present invention, since the noise removal processing unit is provided, a digital signal mixed with noise can be converted into a clean digital signal with little noise. For this reason, since the decoding process can be performed based on the digital signal from which noise is removed, reception sensitivity is improved, and correct time information can be acquired.
Further, the noise removal processing unit of the present invention sets the signal level of the sampling data to be processed by the number of H level signals or L level signals in a predetermined number of sampling data including the sampling data to be processed. Compared to the area averaging method that averages data for each predetermined period described in Document 1, it can be processed in real time.
Furthermore, in the area averaging method, there is a problem that the signal falling position varies greatly depending on the timing. However, in the present invention, since noise removal processing is performed for each piece of sampling data, the signal falling position is Variation can be reduced, and bit synchronization accuracy can be improved.

  In the standard radio wave receiving apparatus of the present invention, the noise removal processing unit converts the sampling data to be processed to the H level when the number of H level signals is larger than the number of L level signals in the predetermined number of sampling data. If the number of L level signals is larger than the number of H level signals, the sampling data to be processed is set to the L level signal, and if the number of L level signals and H level signals is the same The sampling data to be processed is preferably processed by a majority method in which the sampling data is set to either a preset H level signal or L level signal.

  According to the present invention, since noise removal processing is performed by the majority method, it is possible to effectively remove noise of sampling data during a period in which the signal level changes to H or L, depending on the type of signal.

  In the standard radio wave receiver of the present invention, the noise removal processing unit sets the sampling data to be processed as an L level signal when the predetermined number of sampling data includes one or more L level signals. Only when all the sampling data is the H level signal, it is preferable to process by the L priority method in which the sampling data to be processed is set to the H level signal.

According to the present invention, since noise removal processing is performed by the L priority method, it is possible to effectively remove rising noise particularly during a period in which the signal level is L.
In addition, since the falling timing of the signal can be detected with high accuracy, it is possible to improve the accuracy of bit synchronization of the time code signal in the reception format with the falling as a base point.

  In the standard radio wave receiver of the present invention, the noise removal processing unit sets the sampling data to be processed as an H level signal when the predetermined number of sampling data includes one or more H level signals. Only when all the sampling data are L level signals, it is preferable to process the sampling data to be processed by the H priority method in which the L level signals are set.

According to the present invention, since the noise removal processing is performed by the H priority method, it is possible to effectively remove the falling noise particularly in the period when the signal level is H.
In addition, since the rising timing of the signal can be detected with high accuracy, the accuracy of bit synchronization of the time code signal in the reception format with the rising as the base point can be improved.

  In the standard radio wave receiving apparatus of the present invention, the noise removal processing unit converts the sampling data to be processed to the H level when the number of H level signals is larger than the number of L level signals in the predetermined number of sampling data. If the number of L level signals is larger than the number of H level signals, the sampling data to be processed is set to the L level signal, and if the number of L level signals and H level signals is the same In the case where a majority method for setting sampling data to be processed as either an H level signal or an L level signal set in advance and one or more L level signals are included in the predetermined number of sampling data When the sampling data to be processed is set to the L level signal and all the sampling data is the H level signal, the sample to be processed is If the L priority method for setting the H level signal to the H level signal and one or more H level signals are included in the predetermined number of sampling data, the sampling data to be processed is set to the H level signal, and all Only when the sampling data is an L level signal, the H priority method for setting the sampling data to be processed as the L level signal can be selected, and is common to the signals included in the time code of the standard radio wave. It is preferable that the L level period is processed by the L priority method, the common H level period is processed by the H priority method, and the period in which the L level and the H level are mixed in each signal is processed by the majority method. .

  According to the present invention, since an appropriate noise removal method can be applied in each period of a one-second signal, more effective noise removal can be performed. For example, in JJY, a period of 0 to 200 msec, which is always at the L level, and a period of 800 to 1000 msec, which is always at the H level, can be processed by the L priority method and the H priority method suitable for each, so that noise is effective. Can be removed.

  In the standard radio wave receiver of the present invention, the noise removal processing unit sets the sampling data to be processed as an L level signal when the predetermined number of sampling data includes one or more L level signals. Only when all the sampling data are H level signals, the L priority method for setting the sampling data to be processed as the H level signal and the predetermined number of sampling data include one or more H level signals. In such a case, the sampling data to be processed is set to the H level signal, and the H priority method in which the sampling data to be processed is set to the L level signal can be selected only when all the sampling data is the L level signal. The sampling data immediately before the sampling data to be processed is L level in the noise removal processing unit. If set, then treated with L-first manner, when the preceding sampling data of the sampling data to be processed is set to the H level in the noise removal processing unit is preferably treated with H-first manner.

  According to the present invention, since the L priority method or the H priority method is selected based on the determination result of the previous sampling data, noise can be effectively removed. That is, each signal of the time code becomes the same level as the previous signal level except at the time of switching between the L level and the H level within a period of one second. For this reason, in most sampling data, it is the same level as the previous signal level, and if the previous one is L level, it is highly likely that it is L level this time, so it is suitable for noise removal at the L level. By using the L priority method, rising noise can be effectively removed. Similarly, if the previous one is at the H level, it is highly likely that it is at the H level this time, so that the falling noise can be effectively removed by processing with the H priority method suitable for noise removal at the H level.

  In the standard radio wave receiver of the present invention, the noise removal processing unit is configured to configure the predetermined number of sampling data by sampling data to be processed and a plurality of sampling data immediately before the sampling data to be processed. Is preferred.

  In the present invention, it is possible to perform noise processing using the sampling data to be processed and the sampling data before and after the sampling data. If the processing is performed, the noise removal processing can be performed immediately after obtaining the sampling data to be processed by the sampling processing, the real-time property can be improved, and the processing load can be suppressed.

  In the standard radio wave receiver of the present invention, each processed sampling data set to an H level signal or an L level signal by the noise removal processing unit falls at a falling timing or an L level signal when the H level signal changes to an L level signal. When any one of the rising timings that change from the H level signal to the preset timing is detected, and each detected falling timing or rising timing continues for a predetermined number of times with a period of approximately one second, those falling timings A bit synchronization processing unit that determines a timing or a rising timing as a bit synchronization position, and the decode processing unit analyzes the processed sampling data for one second from the bit synchronization position determined by the bid synchronization processing unit to determine a time It is preferable to decode the code.

  Here, in the bit synchronization processing unit, whether the rising timing or the falling timing is detected is set based on the data change direction at the output start position of each bit data of the TCO signal generated at intervals of 1 second. Is done. The change direction of the data at the output start position of each bit data is set in advance by the type of the standard radio wave to be received, the processing in the receiving circuit, and the like, so whether the bit synchronization processing unit detects the rising timing or Whether to detect the falling timing can also be set in advance.

  According to the present invention, since the bit synchronization processing unit that determines the bit synchronization position when the falling or rising edge of a period of about 1 second is detected continuously for a predetermined number of times, the accurate bit synchronization position can be detected. Accordingly, each bit data can also be correctly recognized, and the time code (time information) can be correctly analyzed with the bit data for 60 seconds, and the correct time information can be acquired.

In the standard radio wave receiver of the present invention, the decoding processing unit may decode the time code according to the number of L level signals or H level signals of sampling data in a predetermined period set by an elapsed time from the bit synchronization position. preferable.
For example, in JJY, only the signal “P” is at the H level and the other signals “1, 0” are at the L level during the period of 200 to 500 msec set by the elapsed time from the bit synchronization position (0 msec). . Therefore, if the number of L level signals or H level signals of the sampling data in the period is counted and it is possible to determine that the period is H level, it is determined that the data of the bit (1 second) is the signal “P”. it can. When the signals “1” and “0” are compared, the signal “1” is at the H level for the entire period of 500 to 1000 msec, whereas the signal “0” is at the H level only for the period of 800 to 1000 msec. Therefore, if the number of L level signals or H level signals of sampling data in the period of 500 to 1000 msec is counted and it is determined that the period is at the H level, the bit data can be determined as the signal “1”. If it is determined that the signal is neither “P” nor “1” under the above conditions, the bit data can be determined as the signal “0”.

  According to the present invention as described above, each bit data can be correctly discriminated by the number of L level signals or H level signals of sampling data in a predetermined period, and the time code (time information) is also correctly analyzed by the bit data for 60 seconds. it can. Furthermore, since each signal can be determined by counting the number of L level signals and H level signals of sampling data in a predetermined period, it can be easily determined by data processing. In addition, since it is not necessary to add a component (hardware) or the like for separately identifying the signal, the cost can be reduced. In addition, even if the type of the standard radio wave to be received is changed, it is possible to cope with the change by simply changing the predetermined period or the determination criterion (threshold value) based on the number of L level signals or H level signals, so that the software processing is also easy. The cost can be reduced.

  The radio-controlled timepiece of the present invention acquires the time information based on the time signal decoded by the standard radio wave receiver, the time measuring unit that counts the internal time information, and the standard radio wave receiver, and the internal time information A time information correcting unit for correcting and a time display unit for displaying the internal time information are provided.

  According to the present invention, since the standard radio wave receiver is provided, correct time information can be acquired. Therefore, the time information correction unit can correct the internal time information correctly, and the time display unit can display the correct time.

The present invention relates to a standard radio wave receiving method for receiving a standard radio wave on which a time code is superimposed, the time obtained by receiving the standard radio wave and binarizing the received signal into an H level or an L level. A receiving step for outputting a code signal; and a processing step for processing the time code signal, wherein the processing step is a sampling processing step for sampling the time code signal at a predetermined cycle; and the sampling processing step The sampling data to be processed is sequentially selected from the plurality of sampling data obtained in the above, and based on the number of H level signals or L level signals in a predetermined number of sampling data including the sampling data to be processed, A noise removal process for sequentially setting each sampling data to an H level signal or an L level signal; Characterized in that it comprises a decoding step of performing decoding processing of the time code signal based on the processed sampled data set to the H level signal or an L level signal at the noise elimination processing section.
Also in this invention, the same effect as the standard radio wave receiver can be obtained.

[First Embodiment]
Hereinafter, a radio-controlled timepiece 1 according to a first embodiment of the present invention will be described with reference to the drawings.

[Overall configuration of radio-controlled watch 1]
As shown in FIG. 1, the radio-controlled timepiece 1 includes an antenna 3 that receives a standard radio signal, a reception circuit 4 that processes a reception signal received by the antenna 3 and outputs a TCO (Time Code Out) signal, A processing unit 5 that decodes the TCO signal (digital signal) generated by the circuit 4 to acquire time information and a time display unit 6 that displays the time information acquired by the processing unit 5 are provided.
In the present embodiment, the antenna 3 and the receiving circuit 4 constitute a receiving unit.

[Receiver configuration]
Although not shown, the reception circuit 4 is a general reception circuit including a tuning circuit, an amplifier circuit, a bandpass filter, an envelope detection circuit, an AGC (Auto Gain Control) circuit, a binarization circuit, and the like.
The receiving circuit 4 of the present embodiment is configured to receive the Japanese standard radio wave “JJY”. However, using a tuning circuit or the like, the United States standard radio wave “WWVB” and the German standard radio wave “DCF77” are used. The standard radio wave “MSF” in the United Kingdom and the standard radio wave “BPC” in the People's Republic of China may be configured to be receivable in each region.

Here, the standard radio signal is obtained by changing the signal ratio between “H level” and “L level” every second, and transmits “P”, “1”, “0” data, By analyzing each time based on a predetermined time information format (time code format), the current time information is known.
In JJY, as shown in FIG. 2, the signal P indicating each marker is a signal having a pulse width of about 0.2 seconds, and the signal representing “1” in each item is a pulse width of about 0.5 seconds. The signal representing “0” is a signal having a pulse width of about 0.8 seconds.
Note that the JJY transmission signal has a rise of 1 second from the rise of the radio wave (pulse), but is inverted by the reception circuit 4, so that the TCO signal output from the reception circuit 4 rises as shown in FIG. The fall from the fall is 1 second. Therefore, the pulse width of each signal of “P, 1, 0” is also set by the length of the portion where the signal level is L level.

  In the above description, the recognition of the time code (TC) in JJY is exemplified. However, when the received standard radio wave is of another type, the TC is recognized by the pulse width (duty) corresponding to each radio wave. For example, in the case of the standard radio wave (WWVB) in the United States, the illustration is omitted, but the fall from the fall of the radio wave is 1 second, and the width of the L-level signal portion is about 0.2 seconds from the fall of the radio wave. A signal of “0”, a signal of “1” when the width of the L-level signal portion is about 0.5 seconds, and a signal of “P” when the width of the L-level signal portion is about 0.8 seconds judge.

[Configuration of processing means]
The processing means 5 is constituted by a CPU, and includes a data storage unit 51, a time measuring unit 53, a sampling processing unit 54, a noise removal processing unit 55, a bit synchronization processing unit 56, a decoding processing unit 57, and a time information correction. Part 58.

The data storage unit 51 includes a RAM, and includes a first storage unit 511, a second storage unit 512, a first determination counter 513, and a second determination counter 514.
The first storage unit 511 stores data (sampling data) obtained by sampling the TCO signal output from the receiving circuit 4 by the sampling processing unit 54.
The second storage unit 512 stores the processed sampling data processed by the noise removal processing unit 55 with respect to the data stored in the first storage unit 511.
The first determination counter 513 and the second determination counter 514 are used when the decode processing unit 57 performs time code analysis.

  The timekeeping unit 53 measures the internal time information displayed on the time display unit 6. Specifically, the clock signal output from a quartz oscillator (not shown) provided in the radio-controlled timepiece 1 is counted to measure time.

The sampling processing unit 54 samples the TCO signal output from the receiving circuit 4 at a predetermined sampling frequency (for example, 64 Hz).
The noise removal processing unit 55 performs noise removal processing described later.

The bit synchronization processing unit 56 performs processing for detecting a bit synchronization position by detecting the falling timing of the TCO signal.
The decode processing unit 57 performs processing for analyzing time code based on processed sampling data (bit data) stored in the second storage unit 512 and acquiring time information.

  The time information correcting unit 58 corrects the internal time information measured by the time measuring unit 53 to correct time information based on the time information acquired by the decoding processing unit 57.

[Configuration of time display section]
The time display unit 6 of the present embodiment is a pointer-type time display unit that indicates time with an hour hand, a minute hand, and a second hand. The time display unit 6 may be a digital display type time display unit that displays a time using a liquid crystal panel, an EPD (Electrophoretic Display), or the like, and may be anything that can display time information.
Therefore, in the present embodiment, the antenna 3, the receiving circuit 4, the data storage unit 51, the sampling processing unit 54, the noise removal processing unit 55, the bit synchronization processing unit 56, and the decoding processing unit 57 of the processing unit 5 A receiving device is configured.

[Description of reception processing procedure]
Next, the reception processing procedure in the processing means 5 of this embodiment will be described.
First, as shown in FIG. 3, the processing means 5 transmits a control signal instructing to start reception by selecting a designated transmission station, and starts reception processing (step S1).
The receiving circuit 4 receives the control signal and tunes the antenna 3 in accordance with the frequency of the receiving station. The receiving circuit 4 converts the analog signal input from the antenna 3 into a digital signal that is divided into two values of “H level” and “L level” using a predetermined threshold.

Next, the processing means 5 starts noise removal processing (step S2). That is, when the noise removal process is started, the processing means 5 executes the noise removal process shown in FIG. This noise removal process is continuously executed from the start of reception to the end of reception.
When the noise removal processing is started, as shown in FIG. 4, the sampling processing unit 54 samples the digital signal (time code signal) generated by the receiving circuit 4 at predetermined intervals (step S21). In this embodiment, sampling is performed at a cycle of 64 Hz using a clock signal from a crystal resonator.

Next, the noise removal processing unit 55 stores each sampled data in the first storage unit 511 (S22). In this embodiment, in order to effectively use a RAM area that is provided in the CPU and has a limited usable range (capacity), the first storage unit 511 secures an area that can store sampling data for seven times. is doing. Therefore, when storing new sampling data (processing target sampling data) in S22, the noise removal processing unit 55 deletes the oldest sampling data, packs the empty areas one by one, and finally Sampling data is stored.
Therefore, the first storage unit 511 always stores the latest seven sampling data.

Next, the noise removal processing unit 55 counts the number of L level data (L data) in the latest seven sampling data stored in the first storage unit 511 (S23).
And the noise removal process part 55 determines the value of the sampling data of the newest process target according to the preset criteria. In this embodiment, the determination is made by the majority method.
Specifically, the noise removal processing unit 55 determines whether the number of L data is 4 or more in the latest seven sampling data (S24).
If the number of L data is 4 or more, the sampling data to be processed is determined to be “L level” (S25). On the other hand, if the number of L data is 3 or less, that is, if the H data is 4 or more, the sampling data to be processed is determined to be “H level” (S26).
That is, in the present embodiment, the noise removal processing unit 55 employs a majority decision method that determines a large number of L levels and H levels in the latest seven sampling data as the sampling data to be processed. .

Next, the noise removal processing unit 55 stores the determination result in the second storage unit 512 (S27). Accordingly, the second storage unit 512 sequentially stores the processed sampling data determined by the majority method described above.
Next, the noise removal processing unit 55 determines whether or not to end the noise removal processing (S28). As described above, in this embodiment, the noise removal process continues from the start to the end of reception. Therefore, in S28, if the reception is finished, it is determined that the noise removal process is also finished. It is determined that the removal process is also continued.
And when it is judged as "No" in S28, the process of S21-28 is repeated. That is, in the noise removal process, the processes of S23 to S27 can be executed if the first seven sampling data are prepared in S21 and 22. Thereafter, each time the sampling data is stored in the first storage unit 511 in S21 and S22, the processing of S24 to S27 is performed, so that the noise removal processing of each sampling data is performed while the reception continues.
On the other hand, when “Yes” is determined in S28, that is, when the reception process is completed, the processing unit 5 ends the noise removal process.

[Specific example of noise removal processing]
Here, a specific example of the majority method of noise removal processing will be described with reference to FIG. FIG. 5 shows an example in which the noise removal processing unit 55 processes a digital signal that shows the waveform of the signal “1” of JJY but cannot be discriminated as it is because of noise.
FIG. 5A is a waveform example of the TCO signal (digital signal) 100 output from the receiving circuit 4. FIG. 5B shows the result of sampling the TCO signal 100 by the sampling processor 54. In the present embodiment, sampling processing is performed at a cycle of 64 Hz. When the TCO signal 100 is in the H level, the sampling result is also “H”, and in the L level region, the sampling result is also “L”.

Here, a case where the noise removal processing unit 55 processes the sampling data 101 of FIG. As shown in FIG. 5C, the noise removal processing unit 55 uses a total of seven sampling data of the current sampling data 101 and the past six sampling data as a data set 111 for determination. That is, in the data set 111, the sampling data 101 is stored as it is as shown by the solid arrow drawn from the sampling data 101 of FIG. 5B, and the data set 111 is shown in FIG. The past 6 sampling data arranged on the left side of the sampling data 101 in (B) is stored.
The noise removal processing unit 55 counts the number of L data in the data set 111. In the data set 111, since the number of L data is 3 and the number of H data is 4, the noise removal processing unit 55 determines that the current sampling data 101 is “H level” by S24 and S26. To do. Therefore, the noise removal processing unit 55 stores “H” as the processed sampling data 121 in the second storage unit 512 as illustrated in FIG.

Similarly, since the sampling data 102 in FIG. 5B has four L data in the data set 112, “L” is stored as the sampling data 122 in the second storage unit 512.
In addition, since the sampling data 103 has six L data in the data set 113, “L” is stored as the sampling data 123 in the second storage unit 512.
In addition, since the sampling data 104 has two L data in the data set 114, “H” is stored in the second storage unit 512 as the sampling data 124.
Also, since the sampling data 105 has three L data in the data set 115, “H” is stored as the sampling data 125 in the second storage unit 512.

As described above, each sampling data is processed by the noise removal processing unit 55, and as shown in FIG. 5A, a TCO signal with noise is converted into noise as shown in FIG. Can be converted to a signal 130 from which the signal is removed.
The noise removal process described above is performed from the start of reception to the end of reception as described above.

[Bit synchronization processing]
The processing means 5 executes the bit synchronization processing S3 by the bit synchronization processing unit 56 in parallel with the above noise removal processing.
The bit synchronization processing unit 56 removes the signal from which noise has been removed by the noise removal processing unit 55 and stored in the second storage unit 512, specifically, the signal 130 that has been subjected to noise removal processing shown in FIGS. The bit synchronization process S3 is executed using the same.
As shown in FIG. 6, when starting the bit synchronization processing, the bit synchronization processing unit 56 first determines whether the determination result of the currently processed sampling data stored in the second storage unit 512 is “L”. (S31). Here, the bit synchronization processing unit 56 confirms the bit synchronization by detecting the falling timing of the signal from H to L. Therefore, if the determination result of the current sampling data is “H”, at least the falling timing is not reached, so the bit synchronization shown in FIG. 6 is performed again with the next sampling result.

  On the other hand, if “Yes” is determined in S31, the bit synchronization processing unit 56 determines whether the previous sampling result is “H” (S32). here. Even if the current sampling data is “L”, if the previous sampling data is not “H”, it is not the falling timing, so the bit synchronization shown in FIG. 6 is performed again with the next sampling result.

  If it is determined “Yes” in S32, that is, if the current sampling data is “L” and the previous sampling data is “H”, the signal falling timing changed from H to L is detected. (S33).

Next, the bit synchronization processing unit 56 checks whether the interval from the previous fall to the current fall is about 1 second (S34). Specifically, it is confirmed whether the falling interval is 1 second ± 62.5 msec. In other words, since the sampling data is 64 Hz in this embodiment, the pulse width of each sampling data is 1000 msec / 64 = 15.625 msec. The bit synchronization processing unit 56 of the present embodiment is set to determine that the interval is about 1 second if the falling interval is 1 second ± 4 samples. Since 4 samples (4 sampling data) are 15.625 msec × 4 = 62.5 msec, the bit synchronization processing unit 56 determines that the interval is about 1 second if the falling interval is 1 second ± 62.5 msec. It will be.
As shown in FIG. 7A, in the signal waveform in which noise is mixed, the interval between the falling edges does not become a one-second cycle. Even in the sampling data processed by the noise removal processing unit 55, it is understood that the noise removal processing unit 55 has not completely removed the noise when the falling interval is not a one-second cycle. Therefore, erroneous second synchronization can be prevented based on the timing when the signal falls due to such noise.
On the other hand, as shown in FIG. 7B, in the signal waveform from which noise has been removed, the falling interval has a period of approximately 1 second.

Therefore, when it is determined “Yes” in S34, the bit synchronization processing unit 56 determines whether or not the state in which the falling interval has become a one-second cycle has been detected five times in succession (S35).
When it is determined “Yes” in S35, the bit synchronization processing unit 56 determines that the bit synchronization is successful, and sets the falling position of the sampling signal as the bit synchronization position (S36). It should be noted that the bit synchronization position is determined when it is detected five times consecutively, and can be determined to be an accurate bit synchronization position if the falling interval is approximately one second every five consecutive times. Because.

On the other hand, if it is determined “No” in S34 or S35, the bit synchronization processing unit 56 cannot perform second synchronization and performs bit synchronization again with the next sampling result.
Therefore, as shown in FIG. 7A, when the noise removal processing unit 55 does not remove noise, the bit synchronization position cannot be determined by the falling edge of the signal, but as shown in FIG. If is removed, the bit synchronization position can be determined by the fall of the signal, and it can be seen that the noise removal processing is effective.

[Decoding process]
As shown in FIG. 3, when the bit synchronization processing S3 is completed, the decoding processing unit 57 executes the decoding processing S4.
When starting the decoding process S4, the decoding processing unit 57 first performs a time code analysis process shown in FIG.
In the time code analysis process, the decode processing unit 57 analyzes the sampling data for one second from the bit synchronization position, and determines “P”, “1”, and “0”.

Therefore, the decoding processing unit 57 sequentially checks and processes the sampling data stored in the second storage unit 512.
Specifically, the decoding processing unit 57 determines whether the sampling data to be processed is the bit synchronization position detected by the bit synchronization processing unit 56 (S41). Here, the bit synchronization position is the starting point and the ending point of the time code signal for one second.
When it is determined “No” in S41, that is, until the sampling data to be processed reaches the bit synchronization position, the decoding processing unit 57 determines whether the sampling data has a period of 200 to 500 msec from the bit synchronization position. Is determined (S42).

If “Yes” is determined in S42, the decoding processing unit 57 sets “1” to the first determination counter 513 provided in the data storage unit 51 if the sampling data to be processed is “L” data. Add (add) (S43).
Therefore, the first determination counter 513 stores the number of L data in the sampling data in the period of 200 to 500 msec from the bit synchronization position.
Here, if the sampling data has a period of 64 Hz, the pulse width of one sampling data is 1000 msec / 64 = 15.625 msec. Further, the period of 200 to 500 msec has a time width of 300 msec. Since 300 / 15.625 = 19.2, there are 20 sampling data in the period of 200 to 500 msec. Accordingly, the first determination counter 513 stores the number of sampling data that was L data among the 20 sampling data.

On the other hand, if “No” is determined in S42, the decoding processing unit 57 determines whether the sampling data to be processed is in a period of 500 to 1000 msec from the bit synchronization position (S44).
If “Yes” is determined in S44, the decode processing unit 57 sets “1” to the second determination counter 514 provided in the data storage unit 51 if the sampling data to be processed is “L” data. "Is added (added) (S45).
Accordingly, the second determination counter 514 stores the number of L data in the sampling data (32 if the sampling data has a period of 64 Hz) in the period of 500 to 1000 msec from the bit synchronization position. .

If “No” is determined in S44, that is, during the period from 0 to 200 msec from the bit synchronization position, the determination processing of the sampling data is finished without updating the determination counters 513 and 514.
The decode processing unit 57 repeatedly executes the processes of S41 to S45 for each processed sampling data.
Then, when 1 second elapses from the bit synchronization position, the next bit synchronization position is reached, and if “Yes” is determined in S41, the bit data for 1 second is analyzed.

That is, when “Yes” is determined in S41 and the next bit synchronization position is reached, the decoding processing unit 57 checks the first determination counter 513 to determine whether the counter value, that is, the number of stored L is less than 10. Determine (S46).
Here, if the first determination counter 513 is less than 10, that is, if L data is less than half (H data is 10 or more) out of 20 sampling data of 200 to 500 msec, 200 to 500 msec is H level. Can be assumed. Here, as shown in FIG. 2, only the signal “P” becomes 200 to 500 msec at the H level. Therefore, the bit synchronization processing unit 56 determines that the bit data for 1 second is “P” ( S47).

If “No” is determined in S46, that is, if it is not “P”, the decoding processing unit 57 checks the second determination counter 514, and the counter value, that is, the number of stored L is less than 12. It is determined whether there is (S48).
If the second determination counter 514 is less than 12, the L data is less than half (less than 12) out of 32 sampling data of 500 to 1000 msec. Accordingly, the H data is 12 or more (half or more), and it can be assumed that 500 to 1000 msec is the H level. Here, among the signals “0” and “1” other than “P”, only the signal “1” is at 500 to 1000 msec as shown in FIG. Determines that the bit data of one second is “1” (S49).
On the other hand, if “No” is determined in S48, the 1-bit bit data is determined to be “0” (S50).

By performing such processing, each bit data can be analyzed into a correct signal. For example, if the time code analysis is performed on the signals before noise removal shown in FIGS. 5A and 5B, the second determination counter 514 becomes 12, so that the bit data is erroneously determined as “0”. . On the other hand, if the time code analysis is performed on the noise-removed signals shown in FIGS. 5D and 5E, the second determination counter 514 is 1, so that the bit data is correctly determined as “1”. Therefore, according to this embodiment, correct bit data can be determined by removing noise from the signal, and it can be seen that this embodiment is effective.
In this way, the decoding processing unit 57 analyzes whether the bit data per second is “P, 1, 0” based on the signal from which the noise has been removed.

  Next, the decode processing unit 57 analyzes the bit data for 60 seconds analyzed by the time code analysis process, that is, the data received for 1 minute from the 0 second position according to the JJY time code format to obtain a time code.

When the time code (time information) is acquired by the decode processing unit 57, the time information correction unit 58 corrects the internal time information measured by the time measurement unit 53 with the time information acquired by the decode processing unit 57.
Then, the time measuring unit 53 corrects the indication position of the pointer of the time display unit 6 based on the corrected internal time information, and corrects the time indicated by the time display unit 6 to the correct time.

  When the reception ends, “Yes” is determined in S28 of FIG. 4, and the noise removal processing that has been performed continuously from the start of reception as shown in FIG. 3 is also ended (S5). Therefore, the reception process is also completed as described above.

[Effects of First Embodiment]
The radio-controlled timepiece 1 of the present embodiment includes the noise removal processing unit 55, so that a digital signal mixed with noise can be converted into a clean digital signal with little noise. For this reason, since the conventional decoding process can be performed based on the digital signal from which noise has been removed, the reception sensitivity is improved and correct time information can be acquired.

  In addition, since the noise removal processing unit 55 of the present embodiment updates the processing target sampling data using the processing target sampling data and the past six sampling data, the predetermined processing described in Patent Document 1 is performed. Compared to the area averaging method that averages data for each period, it is suitable for real-time processing. That is, in the area averaging method, averaging processing cannot be performed unless sampling data for one area is obtained. However, in this embodiment, noise removal processing can be performed every time sampling data to be processed is acquired. Therefore, it is suitable for real-time processing.

Further, in the area averaging method, the signal level of an area with a large period is determined based on a plurality of sampling results. Therefore, if the area is set finely, the effect of noise reduction is reduced. That is, for example, if about 3 to 5 pieces of sampling data are used as one area, even if noise is included in about 2 to 3 pieces of sampling data, it is easily affected by the noise. On the other hand, if, for example, about 10 pieces of sampling data are used as one area, the influence can be removed even if noise is placed on about 2 to 3 pieces of sampling data. However, as shown in FIGS. There is a problem that the descending position changes greatly depending on the timing.
On the other hand, in the present embodiment, since noise removal processing is performed for each piece of sampling data, there is no variation in the signal falling position due to the division timing of the area as in Patent Document 1. Therefore, the accuracy of bit synchronization can be improved.

In this embodiment, as shown in FIG. 9, the fall timing of the processed sampling data is shifted from the fall timing of the received signal, but this deviation is easily corrected because of the characteristics of the noise removal method. it can.
For example, in FIG. 9, sampling is performed at a sampling frequency of 100 Hz, and in 10 sampling data, when L data is 4 or less, it is determined as “H”, and when L data is 5 or more, “L” is determined. judge. In this case, the fall timing of the signal after the noise removal processing shown in FIG. 9E is delayed by 40 msec with respect to the fall timing of the reception signal shown in FIG. 9A. Due to the characteristics of the noise removal method, not the variation due to the division timing, the delay amount is also constant. Therefore, it can be solved by correcting after successful reception, or adopting an L priority method (a method of determining “L” when at least one L data out of 10 sampling data) is used.

Further, the noise removal processing unit 55 of the present embodiment effectively removes noise by devising software processing of data acquired by sampling, and has no additional parts, so that sensitivity is improved. Can be provided at a low cost.
Further, even if the type of standard radio wave to be received, that is, the time code format changes, the number of sampling data stored in the first storage unit 511 and the determination condition (for example, the threshold value (threshold) for determination based on the number of L levels) can be changed. Therefore, the software processing can be simplified, and the ROM capacity required for storing the program for performing the processing can be reduced, so that the cost can be reduced in this respect.

[Second Embodiment]
Next, a second embodiment of the present invention will be described with reference to FIGS. In the following embodiments, the same or similar configurations as those of the other embodiments described above are denoted by the same reference numerals, and description thereof is omitted or simplified.

When the noise removal processing unit 55 of the first embodiment determines that the sampling data to be processed is H level and L level, the number of L and H in the data set stored in the first storage unit 511 is larger. The majority method is used.
On the other hand, the noise removal processing unit 55 of the second embodiment is an L priority method that determines the sampling data to be processed to L level when there is even one L in the data set stored in the first storage unit 511. Is adopted.

This L priority method is suitable for effectively removing noise that rises in an L level signal.
Here, when the standard radio signal of JJY sent in 1 minute is statistically viewed, 2 times in 3 times is “0”. The “0” signal is “L” for 0 to 800 msec, and the probability that rising noise is included in the “L” signal is higher than the probability that falling noise is included in the “H” signal. Therefore, the sampling data to be processed is determined to be at the H level when there is at least one H as opposed to the majority method as in the first embodiment, the L priority method in the second embodiment, and the L priority method. Among the three methods of the H priority method, the L priority method, which is excellent in rising noise removal, is the most effective.

For example, FIGS. 10 to 12 show examples in which noise is removed by applying each of the L priority method, majority decision method, and H priority method to the same signal waveform in which noise is added to the signal “0”. is there.
Note that FIG. 10 shows an L priority method in which four sampling data are determined as “L” when L ≧ 1, and are determined as “H” only when L <1, that is, when all sampling data are H. It is. As shown in FIG. 10, by using the L priority method of the second embodiment, noise between 0 to 800 msec, which is originally “L”, can be completely removed, and the falling timing of the signal per second is also accurate. It can be detected.

On the other hand, FIG. 11 shows a majority voting method in which “L” is determined when L ≧ 4 and “H” is determined when L <4 (H ≧ 5) in eight sampling data. As shown in FIG. 11, in the majority method, noise between 0 to 800 msec, which is originally “L”, cannot be completely removed. Further, the signal falling timing per second is also detected with a delay.
FIG. 12 shows that “H” is determined when H ≧ 1 (L <1) in the four sampling data, and “L” only when H <1, that is, when all the sampling data is L. This is an H priority method for determination. As shown in FIG. 12, even in the H-priority system, noise of 0 to 800 msec, which is originally “L”, cannot be completely removed. Further, the signal falling timing per second is also detected with a delay.

[Effects of Second Embodiment]
As described above, when the L priority system of the second embodiment is adopted, it is particularly excellent in removing rising noise from an L level signal and detecting the falling timing of the signal every second.
For this reason, in particular, at the time of bit synchronization processing for detecting the falling timing of the signal per second, the falling position can be accurately detected by adopting the L priority method of the second embodiment.
In addition, since it is excellent in removing rising noise in an L level signal, a signal having a wide L level region, such as a JJY “0” signal, can be detected with high accuracy.

  In the L priority method, since the L level is prioritized, the signal width of the H level portion tends to be shortened. Therefore, when the determination of the time code signal (P, 1, 0) is performed, this point is necessary. What is necessary is just to take corrective action. Note that since the length of the signal width that is shortened is determined by the number of data sets, the H-level signal width can be easily corrected.

[Third Embodiment]
Next, a third embodiment of the present invention will be described with reference to FIG.
In the third embodiment, as a determination method in the noise removal processing unit 55, the waveform format of each signal “P, 1, 0” is considered, and the signal “P, 1, 0” is commonly at the L level. The period is processed by the L priority system, and the period of H level common to each signal of “P, 1, 0” is processed by the H priority system. The period in which is mixed is processed by the majority method.

For example, as shown in FIG. 2, the standard radio signal of JJY transmits each signal of “P, 1, 0” with square pulses of different waveform formats. Here, referring to FIG. 2, any signal always becomes L level during the period of 0 to 200 msec. Further, in the period of 200 to 800 msec, there are a mixture of cases where the signal is at the H level and signals at the L level. Further, in any period of 800 to 1000 msec, any signal always becomes H level.
Therefore, rising noise is removed during the period of 0 to 200 msec, both rising and falling noise is removed during the period of 200 to 800 msec, and only falling noise is removed during the period of 800 to 1000 msec. I understand.

  Therefore, the noise removal processing unit 55 of the third embodiment switches the determination method on the condition of the elapsed time from the first falling timing. That is, as shown in FIG. 13, in the third embodiment, determination is made with eight sampling data, and a period of 0 to 200 msec is an L priority method in which “L” is set when “L ≧ 1”. Processed by the majority method of “L” when “L ≧ 4” for a period of 200 to 800 msec, and “H” when “H ≧ 1 (L <1)” for a period of 800 to 1000 msec. The H priority method is used.

[Effects of Third Embodiment]
According to the third embodiment, since an appropriate noise removal method can be applied in each period of a 1-second signal, more effective noise removal can be performed. In particular, during the period of 0 to 200 msec that always becomes the L level and the period of 800 to 1000 msec that always becomes the H level, the processing is performed by the L priority method and the H priority method suitable for each, so noise is effectively removed. can do.

[Fourth Embodiment]
Next, a fourth embodiment of the present invention will be described with reference to FIG.
The fourth embodiment is different from the third embodiment in that the determination method in the noise removal processing unit 55 in the period of 200 to 800 msec is not the majority decision method but the L priority method and the determination method of the previous sampling data. This is a new method for selecting the H priority method. In the fourth embodiment, the period of 0 to 200 msec is processed by the same L priority method as in the third embodiment, and the period of 800 to 1000 msec is also processed in the same H priority method as in the third embodiment.

  Specifically, as illustrated in FIG. 14, the noise removal processing unit 55 of the fourth embodiment, when the determination result of the previous sampling data is “L”, “L ≧ “L” when “1” and “H” only when “L <1 (H = 5)”, and when the determination result of the previous sampling data is “H” Is processed with the H priority method in which “H” is set when “L <1 (H ≧ 1)” and “L” is set only when “H <1 (L = 4)” in the four sampling data. .

[Effects of Fourth Embodiment]
According to the fourth embodiment, since an appropriate noise removal method can be applied in each period of a 1-second signal, more effective noise removal can be performed.
Further, in the period of 200 to 800 msec, the L priority method or the H priority method is selected based on the determination result of the previous sampling data, so that noise can be effectively removed. That is, as shown in FIG. 2, each signal “P, 1, 0” changes to a period of H level after a period of L level within a period of 1 second. Therefore, the signal level is the same as the previous level except when switching from the L level to the H level and when switching from the H level to the L level.
As described above, most sampling data has the same level as the previous signal level, and if the previous level is L level, there is a high possibility that this level is also L level, so L priority suitable for noise removal at L level is high. Rising noise can be effectively removed by processing in this manner. Similarly, if the previous time is H level, there is a high possibility that this time is also H level, so that the falling noise can be effectively removed by processing with the H priority method suitable for noise removal at H level.

  Furthermore, even during a period of 200 to 800 msec, since the processing is performed by the L priority method or the H priority method, it is not necessary to use the majority decision determination method as the determination method. For example, in the majority decision method, when it is necessary to count the number of L levels in about 8 sampling data, in the L priority method and the H priority method, the number of L levels in 4 to 5 sampling data can be counted. Since the same effect can be obtained, the load of software processing can be reduced.

[Modification]
The present invention is not limited to the above embodiments.
For example, in each of the above embodiments, the number of sampling data in the data set is 7 to 10 in the majority decision method and 4 to 8 in the L or H priority method, but these numbers are set as appropriate in implementation. That's fine.
In particular, the most efficient noise removal width varies depending on the characteristics of the antenna 3 and the receiving circuit 4 and the format of the received standard radio wave signal. Therefore, sensitivity evaluation is performed with various noise removal widths set, and the highest sensitivity is obtained. Just choose one.

The noise width that can be removed can be obtained as follows according to the number of sampling data n and the sampling width x.
That is, in the L priority method and the H priority method, the removable noise width is (n−1) × x or less, and in the majority method, it is (n−1) / 2 × x or less.
For example, in the L-priority method, when n = 8 and the sampling frequency is 64 Hz, the sampling width x = 15.625 msec. Therefore, the removable noise width is (8-1) × 15.625 = 109.375 msec or less. Become.

  In each of the above-described embodiments, the case has been described where the Japanese standard radio wave JJY is received. However, the standard radio waves of other countries may be received. In this case, the noise removal method may be set based on the time code format of each standard radio wave.

In the above embodiment, a predetermined number of sampling data (data set) is provided for the sampling data to be processed and the immediately preceding sampling data, and noise processing is performed using this data set. Noise processing may be performed using the sampling data and the sampling data before and after the sampling data.
However, if processing is performed as in the above embodiment, noise removal processing can be performed immediately after obtaining sampling data to be processed by sampling processing, and the processing load can be reduced.

Furthermore, in the embodiment, the bit synchronization processing is performed after the noise removal processing. However, the noise removal processing may be performed after the bit synchronization processing is performed first. In particular, in the third and fourth embodiments, since the noise removal determination method is selected according to the period in the signal of 1 second, it is desirable to perform the bit synchronization processing first.
In addition, an optimum noise removal determination method may be selected for each of the bit synchronization processing and the decoding processing.

In the bit synchronization processing of the embodiment, the signal synchronization timing is detected and the bit synchronization processing is performed. However, the signal is set to rise at the output start timing of the TCO signal depending on the type of the standard radio wave and the configuration of the receiving circuit. If it is, the bit synchronization processing may be performed by detecting the rising timing of the signal every second.
In addition, when detecting the falling edge of the signal during the bit synchronization processing, in order to easily detect the falling timing, the bit synchronization processing is performed by removing noise by the L priority method, and then each embodiment. The noise removal process may be performed by the noise removal method.
Further, when detecting the rising edge of the signal during the bit synchronization processing, in order to make it easier to detect the rising timing, the noise is removed by the H priority method and the bit synchronization processing is performed. What is necessary is just to perform a noise removal process by the removal method.

  In addition, the specific structure and procedure for carrying out the present invention can be appropriately changed to other structures and the like within a range in which the object of the present invention can be achieved.

It is a block diagram which shows the structure of the electromagnetic wave correction watch which concerns on 1st Embodiment. It is a figure which shows the pulse width of each signal of the standard radio wave "JJY" in Japan. It is a flowchart which shows the reception process of this embodiment. It is a flowchart which shows the noise removal process of this embodiment. It is a figure explaining the content of the noise removal process of this embodiment. It is a flowchart which shows the bit synchronization process of this embodiment. It is a figure explaining the bit synchronization processing of this embodiment. It is a flowchart which shows the time code analysis process of this embodiment. It is a figure explaining the fall timing of this embodiment. It is a figure explaining the content of the noise removal process by the L priority system of 2nd Embodiment. It is a figure explaining the content of the noise removal process by a majority method as a comparison with 2nd Embodiment. It is a figure explaining the content of the noise removal process by a H priority system as a comparison with 2nd Embodiment. It is a figure explaining the content of the noise removal process by 3rd Embodiment. It is a figure explaining the content of the noise removal process by 4th Embodiment. It is a figure explaining the content of the noise removal process by patent document 1. FIG. It is a figure explaining the content of the noise removal process by patent document 1. FIG.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Radio correction clock, 3 ... Antenna, 4 ... Reception circuit, 5 ... Processing means, 6 ... Time display part, 51 ... Data storage part, 53 ... Time measuring part, 54 ... Sampling processing part, 55 ... Noise removal processing part, 56: Bit synchronization processing unit, 57: Decoding processing unit, 58: Time information correction unit, 511: First storage unit, 512: Second storage unit, 513: First determination counter, 514: Second determination counter.

Claims (11)

A standard radio wave receiver that receives a standard radio wave with a time code superimposed on it,
Receiving means for receiving the standard radio wave and outputting a time code signal obtained by binarizing the received signal to H level or L level;
Processing means for processing the time code signal,
The processing means includes
A sampling processing unit that samples the time code signal at a predetermined period;
In the plurality of sampling data obtained by the sampling processing unit, the sampling data to be processed is sequentially selected, and based on the number of H level signals or L level signals in a predetermined number of sampling data including the sampling data to be processed. A noise removal processing unit that sequentially sets each sampling data to be processed as an H level signal or an L level signal;
A decoding processing unit that decodes a time code signal based on each processed sampling data set to an H level signal or an L level signal by the noise removal processing unit,
A standard radio wave receiver characterized by that. In the standard radio wave receiver according to claim 1,
The noise removal processing unit
In the predetermined number of sampling data,
If the number of H level signals is greater than the number of L level signals, the sampling data to be processed is set to the H level signal,
When the number of L level signals is larger than the number of H level signals, the sampling data to be processed is set to the L level signal,
When the number of L level signals is the same as the number of H level signals, the standard radio wave is characterized in that the sampling data to be processed is set to either a preset H level signal or L level signal and processed by a majority method. Receiver device. In the standard radio wave receiver according to claim 1,
The noise removal processing unit
In the predetermined number of sampling data,
When one or more L level signals are included, the sampling data to be processed is set to the L level signal,
A standard radio wave receiver characterized by setting the sampling data to be processed as an H level signal only when all the sampling data is an H level signal. In the standard radio wave receiver according to claim 1,
The noise removal processing unit
In the predetermined number of sampling data,
When one or more H level signals are included, the sampling data to be processed is set to the H level signal,
A standard radio wave receiver characterized in that processing is performed by an H priority method in which sampling data to be processed is set to an L level signal only when all the sampling data is an L level signal. In the standard radio wave receiver according to claim 1,
The noise removal processing unit
In the predetermined number of sampling data, when the number of H level signals is larger than the number of L level signals, the sampling data to be processed is set as an H level signal, and the number of L level signals is the number of H level signals. If the number of sampling data to be processed is set to an L level signal, and the number of L level signals and the number of H level signals are the same, the sampling data to be processed is set to a preset H level signal or L level signal. A majority method to set one of the level signals,
When the predetermined number of sampling data includes one or more L level signals, the sampling data to be processed is set to the L level signal, and only when all the sampling data are H level signals, the processing target L priority method for setting the sampling data of the H level signal,
When the predetermined number of sampling data includes one or more H level signals, the sampling data to be processed is set to the H level signal, and only when all the sampling data are L level signals, the processing target The H priority method for setting the sampling data of L to the L level signal can be selected,
In each signal included in the time code of the standard radio wave, a period in which the signal is commonly at the L level is processed in the L priority method, and a period in which the signal is in the H level is processed in the H priority method. Standard radio wave receiver characterized by processing by majority method during periods where H and H levels are mixed. In the standard radio wave receiver according to claim 1,
The noise removal processing unit
When the predetermined number of sampling data includes one or more L level signals, the sampling data to be processed is set to the L level signal, and only when all the sampling data are H level signals, the processing target L priority method for setting the sampling data of the H level signal,
When the predetermined number of sampling data includes one or more H level signals, the sampling data to be processed is set to the H level signal, and only when all the sampling data are L level signals, the processing target The H priority method for setting the sampling data of L to the L level signal can be selected,
When the sampling data immediately before the sampling data to be processed is set to L level in the noise removal processing unit, processing is performed in the L priority method,
A standard radio wave receiver characterized in that when the sampling data immediately before the sampling data to be processed is set to H level by the noise removal processing unit, processing is performed by the H priority method. In the standard radio wave receiver according to any one of claims 1 to 6,
The noise removal processing unit
The standard radio wave receiver characterized in that the predetermined number of sampling data comprises sampling data to be processed and a plurality of sampling data immediately before the sampling data to be processed. In the standard radio wave receiver according to any one of claims 1 to 7,
The fall timing at which each processed sampling data set to the H level signal or the L level signal by the noise removal processing unit changes from the H level signal to the L level signal or the rise timing at which the L level signal changes to the H level signal. When one of the preset falling timings or rising timings is detected and the detected falling timing or rising timing continues for a predetermined number of times with a period of approximately one second, the falling timing or rising timing is set as the bit synchronization position. A bit synchronization processing unit for determining,
The standard radio wave receiver characterized in that the decoding processing unit analyzes the processed sampling data for one second from the bit synchronization position determined by the bid synchronization processing unit and decodes the time code. In the standard radio wave receiver according to claim 8,
The standard radio wave reception characterized in that the decoding processing unit analyzes and decodes a time code according to the number of L level signals or H level signals of sampling data in a predetermined period set by an elapsed time from the bit synchronization position. apparatus. A standard radio wave receiver according to any one of claims 1 to 9,
A timekeeping section that keeps internal time information,
A time information correction unit that acquires time information based on the time code decoded by the standard radio wave receiver and corrects the internal time information;
A time display unit for displaying the internal time information;
A radio-controlled timepiece characterized by comprising: A standard radio wave reception method for receiving a standard radio wave on which a time code is superimposed,
A receiving step of receiving the standard radio wave and outputting a time code signal obtained by binarizing the received signal to H level or L level;
A processing step for processing the time code signal,
The processing step includes
A sampling process for sampling the time code signal at a predetermined cycle;
In the plurality of sampling data obtained in the sampling processing step, sampling data to be processed is sequentially selected, and based on the number of H level signals or L level signals in a predetermined number of sampling data including the sampling data to be processed. A noise removal processing step for sequentially setting each sampling data to be processed to an H level signal or an L level signal;
A standard radio wave receiving method comprising: a decoding process step of decoding a time code signal based on each processed sampling data set to an H level signal or an L level signal by the noise removal processing unit.

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