CN113133031B - Signal diagnosis method, system, equipment and storage medium - Google Patents
Signal diagnosis method, system, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a signal diagnosis method, a signal diagnosis system, signal diagnosis equipment and a storage medium, and relates to the technical field of communication. The method includes a first mode and a second mode: in a first mode, the first handle sends the voice data to the second handle through the DECT base station, and the second handle counts first packet loss information through checking a check code of an MAC protocol in the voice data; in a second mode, the first handle sends the analog data to a second handle through a DECT base station, and the second handle counts second packet loss information through checking the analog data; and obtaining diagnosis information according to the first packet loss information and the second packet loss information. The invention can feed back data of the actual environment, compare tone quality in real time, and improve the accuracy of the antenna test and the overall signal test by combining subjective judgment; and the packet loss conditions, the error rate, the continuous packet loss number and the like under different distances and different interferences can be summarized.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a signal diagnosis method, system, device, and storage medium.
Background
In the field of Digital Enhanced Cordless Telecommunications (DECT), existing signal tests or antenna tests have no objective data diagnosis standard, and rely on subjective judgment to identify sound quality to a great extent. However, the external air interference may cause a large deviation in the diagnostic result obtained by merely performing test diagnosis on the signal.
In order to objectively feed back the air interference, improve the accuracy of signal testing and air interference diagnosis in the DECT field, and acquire the current conditions of air packet loss and the like, the signal testing method is used for improving the PLC/FEC algorithm, and a signal testing method is needed, which can feed back data of an actual environment, compare tone quality in real time and improve the overall accuracy of signal testing.
Disclosure of Invention
The invention aims to provide a signal diagnosis method, a system, equipment and a storage medium, which aim to solve the problem that the result deviation is easy to occur due to the fact that the existing DECT signal diagnosis needs artificial subjective judgment.
To achieve the above object, an embodiment of the present invention provides a signal diagnosis method, including a first mode and a second mode: in the first mode, the first handle sends voice data to the second handle through the DECT base station, and the second handle counts first packet loss information through checking a check code of an MAC protocol in the voice data; in the second mode, the first handle sends the analog data to the second handle through the DECT base station, and the second handle counts second packet loss information by checking the analog data; and obtaining diagnosis information according to the first packet loss information and the second packet loss information.
Further, the analog data is fixed data known to the second handle; the first handle sends the analog data to the second handle through the DECT base station, the second handle counts the second packet loss information through checking the analog data, and the method further comprises the following steps: and the second handle checks the analog data one by one to count second packet loss information.
Further, the first packet loss information includes a total packet number of the received data, a total number of error packets, a maximum number of consecutive error packets, and a number of consecutive error n packets.
Further, still include: obtaining a packet loss rate according to the ratio of the total packet number to the total number of the error packets, wherein the packet loss rate is used for judging the voice data transmission condition so as to diagnose the interference condition and the antenna quality; and obtaining an air interface condition according to the statistical data of the maximum continuous error packet number and the number of the continuous error n packets, so as to be used as diagnostic information of the improved PLC algorithm.
Further, the second packet loss information includes a total packet number of the received data, a total number of error packets, a maximum consecutive error packet number, a number of n consecutive error packets, and a number of different bit errors.
Further, the method also comprises the following steps: and obtaining FEC error correction capability information according to the statistical data of the number of the different bit errors to be used as diagnostic information of an FEC algorithm and an error correction grade.
An embodiment of the present invention further provides a signal diagnosis system, including: the voice data analysis module is used for acquiring voice data and counting first packet loss information by checking a check code of an MAC protocol in the voice data; the analog data analysis module is used for acquiring analog data and counting second packet loss information by checking the analog data; and the diagnosis module is used for obtaining diagnosis information according to the first packet loss information and the second packet loss information.
Further, the analog data is locally known fixed data; the diagnosis module is further used for verifying the analog data one by one to count second packet loss information.
The embodiment of the invention also provides computer terminal equipment which comprises one or more processors and a memory. A memory coupled to the processor for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the signal diagnosis method according to any of the embodiments described above.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the signal diagnosis method according to any of the above embodiments.
Compared with the prior art, the signal diagnosis method provided by the embodiment of the invention comprises a first mode and a second mode: in the first mode, the first handle sends voice data to the second handle through the DECT base station, and the second handle counts first packet loss information through checking codes of an MAC protocol in the voice data; in the second mode, the first handle sends the analog data to a second handle through a DECT base station, and the second handle counts second packet loss information by checking the analog data; and obtaining diagnosis information according to the first packet loss information and the second packet loss information. According to the DECT signal diagnosis method, two diagnosis modes are combined to output diagnosis information together, the problem that result deviation is easy to occur due to the fact that manual subjective judgment is needed in the existing DECT signal diagnosis can be solved, output summary is conducted according to measurement data of the corresponding mode, the final result is judged and output, the whole process is supported by data, and diagnosis information is objective and rigorous. The data of the actual environment can be fed back, the tone quality can be compared in real time, and the accuracy of the antenna test and the overall signal test can be improved by combining subjective judgment; and the packet loss conditions, the error rate, the continuous packet loss number and the like under different distances and different interferences can be summarized.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings required to be used in the embodiments will be briefly described below, and obviously, the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow chart of a signal diagnosis method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a signal diagnosis system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a computer terminal device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not intended as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to any and all possible combinations of one or more of the associated listed items and includes such combinations.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a signal diagnosis method according to an embodiment of the invention. The signal diagnosis method provided by the embodiment comprises the following steps:
in a first mode, comprising the steps of:
step S110, the first handle sends the voice data to the second handle through the DECT base station, and the second handle counts the first packet loss information through checking the check code of the MAC protocol in the voice data.
In a second mode, the method comprises the following steps:
step S120, the first handle sends the analog data to the second handle through the DECT base station, and the second handle counts second packet loss information through checking the analog data;
step S130, obtaining diagnosis information according to the first packet loss information and the second packet loss information.
In a certain embodiment, the first mode and the second mode are switched manually through a button on the first handle, in this embodiment, a diagnosis mode capable of switching different measurement methods is set, the diagnosis mode can be switched through setting detection cycle intervals with different requirements and through pressing a key, finally, statistical information is reported according to the preset detection cycle intervals, and finally, corresponding diagnosis can be made according to the condition that the statistical information serves as a wireless signal.
In one embodiment, the call is first established, and then the first mode or the second mode is switched by pressing a key. The voice quality monitoring method comprises the steps that a first mode is represented when voice exists, in the first mode, a second handle can play voice information acquired by the first handle and is used for subjectively judging the voice quality, meanwhile, the packet error rate calculated through the X-CRC of the MAC layer protocol can be acquired, the interference situation occurring in the conversation process of the first handle and the second handle can be judged, and the packet loss hiding algorithm can be improved through the statistics of the number of continuous lost packets and other situations. The error concealment algorithm is applied to a real-time voice call scene, voice distortion can be caused by voice data packet loss, and in order to reduce damage to voice call quality caused by voice data packet loss, the error concealment PLC algorithm 'conjectures' the currently lost voice data packet through the correlation between the previous voice data packet and the next voice data packet, so that errors caused by channel transmission are 'concealed'. The error concealment PLC algorithm is carried out at the receiving end without participation of the transmitting end.
And when the mobile terminal is switched to the second mode, the mobile terminal represents the second mode when no sound is generated, in the second mode, the second handle does not play sound, but obtains a corresponding statistical result by checking fixed data for judging the current interference condition, and in addition, the mobile terminal is used for selecting the Error Correction level of Forward Error Correction (FEC) by counting different bit Error conditions. FEC is a channel coding algorithm that recovers lost packets by adding redundant data. Specifically, a sending end performs FEC coding on original data to generate a redundant parity data packet, the original data and the redundant data packet are combined to be called an FEC data block, the number ratio of the original data packet to the redundant data packet is fixed, the sending end sends the FEC data block, and a receiving end recovers a lost or erroneous data packet through the redundant data packet and the original data packet after receiving the FEC data block. The transmitting side adds certain redundant error correcting code to the data to be transmitted and transmits the data, and the receiving side detects the error of the data according to the error correcting code, and if the error is found, the receiving side corrects the error.
In the first mode, the air interface part judges the current received voice condition through the check bit of X-CRC of the MAC protocol part received in the air and summarizes the voice condition. The first packet loss information acquired in the first mode mainly includes: total number of packets, total number of erroneous packets, maximum number of consecutive erroneous packets and number of consecutive erroneous n packets. Wherein, the total number of the packets is the total number of the data packets received by statistics; the total number of error packets is the total number of packets passing the statistic X-CRC abnormity; the maximum continuous error packet number is obtained by marking error packets with abnormal X-CRC each time, adding 1 to the continuous error packet count, stopping counting when a correct packet appears, and continuously circulating the method to obtain a new continuous error packet count which is compared with the previous value to obtain the maximum continuous error packet number; the number of n consecutive erroneous packets, i.e. 1/2/3/…/n consecutive erroneous packet count, as described above, when a correct packet occurs, the consecutive erroneous packet count is 1, which is the count of 1 consecutive erroneous packets, the consecutive erroneous packet count is 2, which is the count of 2 consecutive erroneous packets, the consecutive erroneous packet count is 3, which is the count of 3 consecutive erroneous packets, and the consecutive erroneous packet count is n, which is the count of n consecutive erroneous packets.
Obtaining a packet loss rate according to a ratio of the total number of the packets to the total number of the error packets, wherein the packet loss rate is used for judging the voice data transmission condition so as to diagnose the interference condition and the antenna quality; the method can be used for measuring the current voice condition and is also used as an important basis for judging the interference and the antenna quality. And obtaining an air interface condition according to the statistical data of the maximum continuous error packet number and the continuous error n-packet number, and using the air interface condition as diagnostic information for improving the PLC algorithm to optimize the PLC algorithm.
In the second mode, fixed analog data is sent between the handles by the wireless base station, and the second handle receiving the analog data sent by the first handle determines the air packet loss condition by checking the fixed analog data. Due to the data fixation, more detailed bit anomalies within the corresponding data can be measured for FEC algorithm improvement and FEC error correction level selection. The second packet loss information obtained in the second mode mainly includes: total number of packets, total number of erroneous packets, maximum number of consecutive erroneous packets, number of consecutive erroneous n packets and number of different bit errors. Wherein, the total number of the packets is the number of the packets received by statistics; the total number of the error packets is the total number of the packets which fail to pass the statistical verification data; the maximum continuous error packet number is the number of continuous error packets which pass through the marking of the error packets which fail in checking data each time, the count of the continuous error packets is added with 1, and the count is stopped when the correct packets appear, so that the count is the count of the continuous error packets; if the above method is continued to be circulated, a new continuous error packet count is obtained, and the maximum continuous error packet count is obtained by comparing the new continuous error packet count with the previous value; the number of n consecutive erroneous packets, i.e. 1/2/3/…/n consecutive erroneous packet count, as described above, when a correct packet occurs, the consecutive erroneous packet count is 1, which is the count of 1 consecutive erroneous packets, the consecutive erroneous packet count is 2, which is the count of 2 consecutive erroneous packets, the consecutive erroneous packet count is 3, which is the count of 3 consecutive erroneous packets, and the consecutive erroneous packet count is n, which is the count of n consecutive erroneous packets; the number of different bit errors, namely the statistics of various bit error numbers, is totally divided into the following conditions of 1 bit error of 1 to 3 bits, 2 bit error of 4 to 9 bits, 3 bit error of 10 to 18 bits and 4 bit error of more than 18 bits by counting the error bit number of the packet with failed verification. And counting the error packets under the condition, so that the packet loss conditions of corresponding different bit error numbers can be counted.
The statistics of the total packet number, the total number of error packets, the maximum continuous error packet number and the number of continuous error n packets can be used for measuring the voice condition and the packet loss condition and used for algorithm improvement of the PLC. Statistics of the number of different bit errors can then be used for FEC algorithm improvement and FEC error correction level selection. The reason why the statistics of different bit numbers is that the error correction capability of the FEC is limited, only a certain number of bits can be corrected, and the statistics is to purposefully optimize the FEC algorithm and the FEC error correction level.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a signal diagnosis system according to an embodiment of the present invention. The same portions of this embodiment as those of the above embodiments will not be described herein again. The signal diagnosis system provided by the embodiment comprises.
The voice data analysis module 210 is configured to obtain the voice data, and count the first packet loss information by checking a check code of the MAC protocol in the voice data.
The analog data analysis module 220 is configured to obtain analog data, and count the second packet loss information by checking the analog data. Wherein, the simulation data is locally known fixed data; the diagnosis module is also used for verifying the analog data one by one to count the second packet loss information.
The diagnosing module 230 is configured to obtain the diagnostic information according to the first packet loss information and the second packet loss information.
Referring to fig. 3, an embodiment of the invention provides a computer terminal device, which includes one or more processors and a memory. The memory is coupled to the processor for storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the signal diagnosis method as in any of the above embodiments.
The processor is used for controlling the overall operation of the computer terminal equipment so as to complete all or part of the steps of the signal diagnosis method. The memory is used to store various types of data to support the operation at the computer terminal device, which data may include, for example, instructions for any application or method operating on the computer terminal device, as well as application-related data. The Memory may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
In an exemplary embodiment, the computer terminal Device may be implemented by one or more Application Specific 1 integrated circuits (AS 1C), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components, for performing the above Signal diagnosis method and achieving technical effects consistent with the above method.
In another exemplary embodiment, there is also provided a computer-readable storage medium including program instructions, which when executed by a processor, implement the steps of the signal diagnosis method in any one of the above embodiments. For example, the computer-readable storage medium may be the memory including the program instructions, and the program instructions may be executed by a processor of a computer terminal device to complete the signal diagnosis method, and output the diagnosis information in combination with two diagnosis modes, so that a problem that an existing DECT signal diagnosis requires a human subjective judgment to easily cause a result deviation can be avoided, an output summary is performed according to measurement data of a corresponding mode, and a final result is finally judged and output, and the whole process is supported by data, and the diagnosis information is objective and rigorous. The data of the actual environment can be fed back, the tone quality can be compared in real time, and the accuracy of the antenna test and the overall signal test can be improved by combining subjective judgment; and the packet loss conditions, the error rate, the continuous packet loss number and the like under different distances and different interferences can be summarized.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A signal diagnostic method comprising a first mode and a second mode:
in the first mode of operation,
the first handle sends the voice data to a second handle through a DECT base station, and the second handle counts first packet loss information by checking a check code of an MAC protocol in the voice data;
in the second mode of the operation, the first mode is,
the first handle sends the analog data to a second handle through a DECT base station, and the second handle counts second packet loss information by checking the analog data;
obtaining diagnosis information according to the first packet loss information and the second packet loss information;
and the second packet loss information is used as the diagnosis information of the FEC algorithm and the error correction level.
2. The signal diagnosis method according to claim 1, wherein the analog data is fixed data known to the second handle; the first handle sends the analog data to the second handle through the DECT base station, the second handle counts the second packet loss information through checking the analog data, and the method further comprises the following steps:
and the second handle checks the analog data one by one to count second packet loss information.
3. The signal diagnosis method according to claim 1, wherein the first packet loss information includes a total number of packets of the received data, a total number of error packets, a maximum number of consecutive error packets, and a number of consecutive error n packets.
4. The signal diagnosis method according to claim 3, further comprising:
obtaining a packet loss rate according to the ratio of the total packet number to the total number of the error packets, wherein the packet loss rate is used for judging the voice data transmission condition so as to diagnose the interference condition and the antenna quality;
and obtaining an air interface condition according to the statistical data of the maximum continuous error packet number and the number of the continuous error n packets, so as to be used as diagnostic information of the improved PLC algorithm.
5. The signal diagnosis method according to claim 1, wherein the second packet loss information includes a total number of packets of the received data, a total number of error packets, a maximum number of consecutive error packets, a number of n consecutive error packets, and a number of different bit errors.
6. The signal diagnostic method according to claim 5, characterized by further comprising:
and obtaining FEC error correction capability information according to the statistical data of the number of different bit errors to be used as diagnostic information of an FEC algorithm and an error correction grade.
7. A signal diagnostic system, comprising:
the voice data analysis module is used for acquiring voice data and counting first packet loss information by checking a check code of an MAC protocol in the voice data;
the analog data analysis module is used for acquiring analog data and counting second packet loss information by checking the analog data;
the diagnosis module is used for obtaining diagnosis information according to the first packet loss information and the second packet loss information;
and the second packet loss information is used as the diagnosis information of the FEC algorithm and the error correction level.
8. The signal diagnostic system of claim 7, wherein the analog data is locally known fixed data; the diagnosis module is further used for verifying the analog data one by one to count second packet loss information.
9. A computer terminal device, comprising:
one or more processors;
a memory coupled to the processor for storing one or more programs;
when the one or more programs are executed by the one or more processors, cause the one or more processors to implement the signal diagnosis method according to any one of claims 1 to 4.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a signal diagnosis method according to any one of claims 1 to 4.
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