CN105406919A - Dispersion compensation method and apparatus - Google Patents

Abstract

The present invention provides a method and device for dispersion compensation. The method includes: collecting the first signal in the time domain received by the dispersion compensation module under a first preset dispersion value and transforming it to obtain the first signal in the frequency domain; The first signal is denoised and processed to obtain the frequency domain energy of the first data signal; the dispersion value of the dispersion compensation module is adjusted to a second preset dispersion value; the dispersion compensation module is collected under the second preset dispersion value The second signal in the time domain is transformed to obtain the second signal in the frequency domain; the second signal in the frequency domain is denoised and processed to obtain the frequency domain energy of the second data signal; according to the obtained frequency domain energy of the first data signal and the second The frequency domain energy of the second data signal performs dispersion compensation adjustment on the dispersion compensation module. The present invention realizes the determination of the optimal dispersion point of the dispersion compensation module by filtering the scanning signal to remove the noise, so that the whole module can work correctly under the optimum dispersion value.

Description

Method and device for dispersion compensation

technical field

The invention relates to the field of optical technology, in particular to a dispersion compensation method and device.

Background technique

During the startup process of the optical module, the dispersion value of the adjustable chromatic dispersion compensation module will be adjusted to make the best dispersion point for the entire module system to ensure that the performance of the optical module reaches the best under this dispersion value. The typical working process of the tunable dispersion compensation module is: as shown in Figure 21, control the tunable dispersion compensation module to scan from -700ps/(nm×km) to +700ps/(nm×km), and Query the scanning peak value, and set the TDC (tunablechromaticdispersioncompensation, hereinafter referred to as TDC) value of the maximum peak value after the scanning process is completed. As shown in Figure 22, the adjustable chromatic dispersion compensation module scans and increases the dispersion value from -700ps/(nm×km) to +700ps/(nm×km) with a step size of 100ps/(nm×km) to obtain a peak curve , reflecting the working performance of the optical module under this dispersion value. As shown in Figures 23 and 24, the figures show the scanning results when DC (dispersion compensation, hereinafter referred to as DC) is set to -700ps/(nm×km)～+700ps/(nm×km).

The system performance should be optimal when the dispersion value in the actual system is 0 ps/(nm×km), but due to the existence of noise, if the peak-to-peak value of the curve is used to represent the performance of the module under a specific dispersion value, the dispersion value will be obtained as The peak-to-peak value is the largest at 100ps/(nm×km), and finally the optimal dispersion operating point of the system is misconfigured to 100ps/(nm×km), which causes the receiving side of the optical module to fail to lock to the correct dispersion value, resulting in a decrease in receiving performance or The received data cannot be recognized.

Contents of the invention

In order to overcome the influence of noise on the optimal dispersion point of the configuration system, the embodiments of the present invention provide a dispersion compensation method and device.

In order to solve the above technical problems, the present invention adopts the following technical solutions:

According to one aspect of the present invention, a method for dispersion compensation is provided, including:

Collecting the first time-domain signal received by the dispersion compensation module under the first preset dispersion value;

transforming the first signal in the time domain from the time domain to the frequency domain to obtain a transformed first signal in the frequency domain;

Denoising and processing the first signal in the frequency domain to obtain frequency domain energy of a first data signal in the first signal in the frequency domain;

adjusting the dispersion value of the dispersion compensation module to a second preset dispersion value;

collecting a second signal in the time domain received by the dispersion compensation module at a second preset dispersion value;

transforming the second signal in the time domain from the time domain to the frequency domain to obtain a transformed second signal in the frequency domain;

Denoising and processing the second signal in the frequency domain to obtain frequency domain energy of a second data signal in the second signal in the frequency domain;

Perform dispersion compensation adjustment on the dispersion compensation module according to the obtained frequency domain energy of the first data signal and the frequency domain energy of the second data signal.

Optionally, the performing dispersion compensation adjustment on the dispersion compensation module according to the obtained frequency domain energy of the first data signal and the frequency domain energy of the second data signal specifically includes:

Comparing the obtained frequency-domain energy of the first data signal with the frequency-domain energy of the second data signal to obtain a dispersion point corresponding to the maximum frequency-domain energy;

The dispersion value of the dispersion compensation module is set as the obtained dispersion value of the dispersion point corresponding to the maximum frequency domain energy.

Optionally, before performing dispersion compensation adjustment on the dispersion compensation module according to the obtained frequency domain energy of the first data signal and the frequency domain energy of the second data signal, the method further includes:

adjusting the dispersion value of the dispersion compensation module to a third preset dispersion value;

collecting a third signal in the time domain received by the dispersion compensation module at a third preset dispersion value;

transforming the third signal in the time domain from the time domain to the frequency domain to obtain a transformed third signal in the frequency domain;

Denoising and processing the third signal in the frequency domain to obtain frequency domain energy of a third data signal in the third signal in the frequency domain;

The adjusting the dispersion compensation module according to the obtained frequency domain energy of the first data signal and the frequency domain energy of the second data signal specifically includes:

Comparing the obtained frequency-domain energy of the first data signal, the frequency-domain energy of the second data signal, and the frequency-domain energy of the third data signal to obtain a dispersion point corresponding to the maximum frequency-domain energy;

The dispersion value of the dispersion compensation module is set as the obtained dispersion value of the dispersion point corresponding to the maximum frequency domain energy.

Optionally, the first preset dispersion value and the second preset dispersion value are respectively between -700ps/(nm×km) and +700ps/(nm×km), and the third preset The set dispersion value is between the first preset dispersion value and the second preset dispersion value.

Optionally, performing denoising and processing on the first signal in the frequency domain to obtain the frequency domain energy of the first data signal in the first signal in the frequency domain is specifically:

performing energy processing on the first signal in the frequency domain to obtain an energy dispersion value in the frequency domain of the first signal;

filtering the noise part of the frequency domain energy dispersion value of the first signal to obtain the frequency domain energy dispersion value of the first data signal;

Performing weighted average processing on the frequency-domain energy dispersion value of the first data signal to obtain the frequency-domain energy of the first data signal.

Optionally, performing denoising and processing on the second signal in the frequency domain to obtain the frequency domain energy of the second data signal in the second signal in the frequency domain is specifically:

performing energy processing on the second signal in the frequency domain to obtain an energy dispersion value in the frequency domain of the second signal;

filtering the noise part of the frequency domain energy dispersion value of the second signal to obtain the frequency domain energy dispersion value of the second data signal;

Performing weighted average processing on the frequency-domain energy dispersion value of the second data signal to obtain the frequency-domain energy of the second data signal.

Optionally, performing denoising and processing on the third signal in the frequency domain to obtain the frequency domain energy of the third data signal in the third signal in the frequency domain is specifically:

performing energy processing on the third signal in the frequency domain to obtain an energy dispersion value in the frequency domain of the third signal;

filtering the noise part of the frequency-domain energy dispersion value of the third signal to obtain the frequency-domain energy dispersion value of the third data signal;

Performing weighted average processing on the frequency-domain energy dispersion value of the third data signal to obtain the frequency-domain energy of the third data signal.

According to another aspect of the present invention, a dispersion compensation device is also provided, including:

The first collection module collects the first signal in the time domain received by the dispersion compensation module under a first preset dispersion value;

The first conversion module is configured to transform the first signal in the time domain from the time domain to the frequency domain to obtain the transformed first signal in the frequency domain;

The first filtering module performs denoising and processing on the first signal in the frequency domain to obtain the frequency domain energy of the first data signal in the first signal in the frequency domain;

a first adjustment module, adjusting the dispersion value of the dispersion compensation module to a second preset dispersion value;

The second collection module collects the second signal in the time domain received by the dispersion compensation module under the second preset dispersion value;

The second conversion module is configured to transform the second signal in the time domain from the time domain to the frequency domain to obtain a transformed second signal in the frequency domain;

The second filtering module is configured to denoise and process the second signal in the frequency domain to obtain the frequency domain energy of the second data signal in the second signal in the frequency domain;

The first processing module is configured to perform dispersion compensation adjustment on the dispersion compensation module according to the obtained frequency domain energy of the first data signal and the frequency domain energy of the second data signal.

Optionally, the first processing module includes:

The first comparison unit is configured to compare the obtained frequency-domain energy of the first data signal with the frequency-domain energy of the second data signal to obtain a dispersion point corresponding to the maximum frequency-domain energy;

The first setting unit sets the dispersion value of the dispersion compensation module to the obtained dispersion value of the dispersion point corresponding to the maximum frequency domain energy.

Optionally, the device also includes:

a second adjustment module, adjusting the dispersion value of the dispersion compensation module to a third preset dispersion value;

The third collection module collects the third signal in the time domain received by the dispersion compensation module under the third preset dispersion value;

A third conversion module, converting the third signal in the time domain from the time domain to the frequency domain to obtain a transformed third signal in the frequency domain;

A third filtering module, denoising and processing the third signal in the frequency domain to obtain the frequency domain energy of the third data signal in the third signal in the frequency domain;

The second processing module is configured to perform dispersion compensation adjustment on the dispersion compensation module according to the obtained frequency-domain energy of the first data signal, frequency-domain energy of the second data signal, and frequency-domain energy of the third data signal.

Optionally, the second processing module includes:

The second comparison unit is configured to compare the obtained frequency domain energy of the first data signal, the frequency domain energy of the second data signal, and the frequency domain energy of the third data signal to obtain the maximum frequency domain energy corresponding to dispersion point;

The second setting unit is configured to set the dispersion value of the dispersion compensation module as the obtained dispersion value of the dispersion point corresponding to the maximum frequency domain energy.

Optionally, the first filter module includes:

The first energy conversion unit performs energy processing on the frequency-domain first signal to obtain a frequency-domain energy dispersion value of the first signal;

The first filtering unit filters out the noise part of the frequency-domain energy dispersion value of the first signal to obtain the frequency-domain energy dispersion value of the first data signal;

The first calculation unit performs weighted average processing on the frequency-domain energy dispersion value of the first data signal to obtain the frequency-domain energy of the first data signal.

Optionally, the second filter module includes:

The second energy conversion unit performs energy processing on the second signal in the frequency domain to obtain an energy dispersion value in the frequency domain of the second signal;

The second filtering unit filters out the noise part of the frequency-domain energy dispersion value of the second signal to obtain the frequency-domain energy dispersion value of the second data signal;

The second calculation unit performs weighted average processing on the frequency-domain energy dispersion value of the second data signal to obtain the frequency-domain energy of the second data signal.

Optionally, the third filter module includes:

a third energy conversion unit, performing energy processing on the frequency-domain third signal to obtain a frequency-domain energy dispersion value of the third signal;

The third filtering unit is configured to filter out the noise part of the frequency-domain energy dispersion value of the third signal to obtain the frequency-domain energy dispersion value of the third data signal;

The third calculation unit performs weighted average processing on the frequency-domain energy dispersion value of the third data signal to obtain the frequency-domain energy of the third data signal.

The beneficial effect of the present invention is: by processing the collected time-domain signal, transforming the time-domain signal into the frequency domain, using the frequency-domain information to filter out the noise energy, and retaining the data information, thereby solving the interference of the noise on the data, making the light The receiving side of the module can be locked to the correct dispersion value, so that the subsequent data can be correctly identified, ensuring the normal and stable working performance of the entire system.

Description of drawings

FIG. 1 shows one of the flowcharts of the dispersion compensation method in Embodiment 1 of the present invention;

FIG. 2 shows a schematic diagram of adjusting the dispersion compensation module in Embodiment 1 of the present invention;

FIG. 3 shows a schematic diagram of filtering and processing the first signal in the frequency domain in Embodiment 1 of the present invention;

FIG. 4 shows a schematic diagram of filtering and processing a second signal in the frequency domain in Embodiment 1 of the present invention;

FIG. 5 shows the second flowchart of the dispersion compensation method in the first embodiment of the present invention;

FIG. 6 shows a schematic diagram of filtering and processing the third signal in the frequency domain in Embodiment 1 of the present invention;

FIG. 7 shows a schematic diagram of the application of the dispersion compensation method in the second embodiment of the present invention in the twin subframe;

Fig. 8 shows a schematic diagram of the application of the method of dispersion compensation in the third embodiment of the present invention in the remote transmission of a single subrack;

FIG. 9 shows one of the schematic diagrams of the dispersion compensation device in Embodiment 5 of the present invention;

FIG. 10 shows a schematic diagram of the first processing module of the dispersion compensation device in Embodiment 5 of the present invention;

FIG. 11 shows the second schematic diagram of the dispersion compensation device in Embodiment 5 of the present invention;

FIG. 12 shows a schematic diagram of a second processing module of the dispersion compensation device in Embodiment 5 of the present invention;

FIG. 13 shows a schematic diagram of the first filter module of the dispersion compensation device in Embodiment 5 of the present invention;

FIG. 14 shows a schematic diagram of the second filtering module of the dispersion compensation device in Embodiment 5 of the present invention;

FIG. 15 shows a schematic diagram of a third filtering module of the dispersion compensation device in Embodiment 5 of the present invention;

Fig. 16 shows the spectrogram when the dispersion value is 100ps/(nm×km) in Embodiment 5 of the present invention;

Fig. 17 shows the spectrogram when the dispersion value is 000ps/(nm×km) in Embodiment 5 of the present invention;

Fig. 18 shows the energy distribution diagram when the dispersion value is -200ps/(nm×km) in Embodiment 5 of the present invention;

Fig. 19 shows the energy distribution diagram when the dispersion value is 000ps/(nm×km) in Embodiment 5 of the present invention;

FIG. 20 shows a schematic diagram of the principle of the filter in Embodiment 5 of the present invention;

Figure 21 shows the scanning diagram of the dispersion compensation module;

Fig. 22 shows the energy statistical diagram after filtering under each dispersion value;

Figure 23 shows the performance curve when the dispersion value is 000ps/(nm×km); and

Fig. 24 shows a performance graph when the dispersion value is 100 ps/(nm x km).

detailed description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

Embodiment one

As shown in FIG. 1 , one of the flowcharts of the dispersion compensation method in Embodiment 1 of the present invention, the dispersion compensation method includes the following steps:

Step S100, collecting a first signal in the time domain received by the dispersion compensation module under a first preset dispersion value.

It should be noted that the actual signal transmission contains noise interference, and the received first signal in the time domain here contains noise interference.

Step S200, transforming the first signal in the time domain from the time domain to the frequency domain to obtain a transformed first signal in the frequency domain.

It should be noted that there are many methods for converting signals from the time domain to the frequency domain. In the embodiment of the present invention, discrete Fourier transform is used to transform the first signal in the time domain collected in step S100 from the time domain to the frequency domain. The specific formula as follows:

$\left(\begin{array}{c}\mathrm{<span\; class="notranslate">\; Re</span>}<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>\\ \mathrm{<span\; class="notranslate">\; Im</span>}<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>\end{array}\right)<span\; class="notranslate">\; =</span>\left(\begin{array}{cc}\mathrm{<span\; class="notranslate">\; cos</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; )</span>& <span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; sin</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; )</span>\\ \mathrm{<span\; class="notranslate">\; sin</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; )</span>& \mathrm{<span\; class="notranslate">\; cos</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; )</span>\end{array}\right)\left(\begin{array}{c}\mathrm{<span\; class="notranslate">\; Re</span>}<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>\\ \mathrm{<span\; class="notranslate">\; Im</span>}<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>\end{array}\right)<span\; class="notranslate">\; +</span>\left(\begin{array}{c}\mathrm{<span\; class="notranslate">\; cos</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; )</span>\\ \mathrm{<span\; class="notranslate">\; sin</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; )</span>\end{array}\right)\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; )</span>$

${\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\left(\begin{array}{cc}\mathrm{<span\; class="notranslate">\; 1</span>}& \mathrm{<span\; class="notranslate">\; j</span>}\end{array}\right)\left(\begin{array}{c}\mathrm{<span\; class="notranslate">\; Re</span>}<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>\\ \mathrm{<span\; class="notranslate">\; Im</span>}<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>\end{array}\right)$

Among them, x(n) represents the time domain signal, x _k (n) represents the frequency domain signal, n represents the number of sampling points, k represents the order, θ _k represents a constant under the k order, and j represents the imaginary number unit.

Step S300 , denoising and processing the first signal in the frequency domain to obtain the frequency domain energy of the first data signal in the first signal in the frequency domain.

It should be noted that the embodiments of the present invention use software to implement filtering, which saves the cost of hardware filtering. Through a large number of tests, it is obtained that the first data signal part of the first signal in the frequency domain is concentrated around the 10th to 14th order, see Figure 16 to Figure 19, which illustrate the frequency domain energy distribution diagrams under three different dispersion values; see Figure 20, schematically The principle of the filter of the embodiment of the present invention is described.

Step S400, adjusting the dispersion value of the dispersion compensation module to a second preset dispersion value.

Step S500, collecting a second time-domain signal received by the dispersion compensation module under a second preset dispersion value.

It should be noted that the actual signal transmission contains noise interference, and the received time-domain second signal here contains noise interference.

Step S600. Transform the second signal in the time domain from the time domain to the frequency domain to obtain a transformed second signal in the frequency domain.

It should be noted that there are many methods for converting signals from the time domain to the frequency domain. In the embodiment of the present invention, discrete Fourier transform is used to transform the first signal in the time domain from the time domain to the frequency domain. The specific formula is as follows:

$\left(\begin{array}{c}\mathrm{<span\; class="notranslate">\; Re</span>}<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>\\ \mathrm{<span\; class="notranslate">\; Im</span>}<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>\end{array}\right)<span\; class="notranslate">\; =</span>\left(\begin{array}{cc}\mathrm{<span\; class="notranslate">\; cos</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; )</span>& <span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; sin</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; )</span>\\ \mathrm{<span\; class="notranslate">\; sin</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; )</span>& \mathrm{<span\; class="notranslate">\; cos</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; )</span>\end{array}\right)\left(\begin{array}{c}\mathrm{<span\; class="notranslate">\; Re</span>}<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>\\ \mathrm{<span\; class="notranslate">\; Im</span>}<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>\end{array}\right)<span\; class="notranslate">\; +</span>\left(\begin{array}{c}\mathrm{<span\; class="notranslate">\; cos</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; )</span>\\ \mathrm{<span\; class="notranslate">\; sin</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; )</span>\end{array}\right)\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; )</span>$

${\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\left(\begin{array}{cc}\mathrm{<span\; class="notranslate">\; 1</span>}& \mathrm{<span\; class="notranslate">\; j</span>}\end{array}\right)\left(\begin{array}{c}\mathrm{<span\; class="notranslate">\; Re</span>}<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>\\ \mathrm{<span\; class="notranslate">\; Im</span>}<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>\end{array}\right)$

Among them, x(n) represents the time domain signal, x _k (n) represents the frequency domain signal, n represents the number of sampling points, k represents the order, θ _k represents a constant under the k order, and j represents the imaginary unit;

Step S700 , denoising and processing the second signal in the frequency domain to obtain the frequency domain energy of the second data signal in the second signal in the frequency domain.

It should be noted that step S700 and step S300 use the same filter.

Step S800, perform dispersion compensation adjustment on the dispersion compensation module according to the obtained frequency domain energy of the first data signal and the frequency domain energy of the second data signal.

Referring to FIG. 2, step S800 in this embodiment includes the following steps:

Step S801, comparing the obtained frequency-domain energy of the first data signal with the frequency-domain energy of the second data signal to obtain a dispersion point corresponding to the maximum frequency-domain energy.

Step S802, setting the dispersion value of the dispersion compensation module as the obtained dispersion value of the dispersion point corresponding to the maximum frequency domain energy.

Referring to FIG. 3, step S300 in this embodiment includes the following steps:

Step S301, performing energy processing on the first signal in the frequency domain to obtain an energy dispersion value in the frequency domain of the first signal.

It should be noted that in step S301, the following formula can be used to perform energy processing on the first signal in the frequency domain:

$<span\; class="notranslate">\; |</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; |</span><span\; class="notranslate">\; =</span>\sqrt{\mathrm{<span\; class="notranslate">\; Re</span>}{<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; Im</span>}{<span\; class="notranslate">\; \{</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \}</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}}$

Among them, x _k (n-1) represents the frequency domain signal, k represents the order, and n represents the number of sampling points;

Step S302: Filter out the noise part of the frequency-domain energy dispersion value of the first signal to obtain the frequency-domain energy dispersion value of the first data signal.

In this embodiment, the final result is accurate by removing the influence of noise.

Step S303, performing weighted average processing on the frequency-domain energy dispersion value of the first data signal to obtain the frequency-domain energy of the first data signal.

It should be noted that, in the embodiment of the present invention, weighted average is used to process the frequency-domain energy dispersion value of the first data signal, and arithmetic average processing may also be used, and of course it is not limited thereto.

Referring to FIG. 4, step S700 in this embodiment specifically includes the following steps:

Step S701, performing energy processing on the second signal in the frequency domain to obtain an energy dispersion value in the frequency domain of the second signal.

The process of step S701 in this embodiment is similar to the process of step S301 described above, and will not be repeated here.

Step S702: Filter out the noise part of the frequency-domain energy dispersion value of the second signal to obtain the frequency-domain energy dispersion value of the second data signal.

In this embodiment, the process of step S702 is similar to the process of step S302 described above, and will not be repeated here.

Step S703, performing weighted average processing on the frequency-domain energy dispersion value of the second data signal to obtain the frequency-domain energy of the second data signal.

In this embodiment, the process of step S703 is similar to the process of step S303 described above, and will not be repeated here.

Referring to FIG. 5 , in order to ensure the accuracy of the optimal dispersion in this embodiment, step S1000 to step S6000 may be added after step S700 .

Step S1000, adjusting the dispersion value of the dispersion compensation module to a third preset dispersion value.

Step S2000, collecting a third signal in the time domain received by the dispersion compensation module under a third preset dispersion value.

In this embodiment, the process of step S2000 is similar to the process of step S100 described above, and will not be repeated here.

Step S3000. Transform the third signal in the time domain from the time domain to the frequency domain to obtain a transformed third signal in the frequency domain.

In this embodiment, the process of step S3000 is similar to the process of step S200 described above, and will not be repeated here.

Step S4000, denoising and processing the third signal in the frequency domain to obtain the frequency domain energy of the third data signal in the third signal in the frequency domain.

In this embodiment, the process of step S4000 is similar to the process of step S300 described above, and will not be repeated here.

Step S5000, compare the obtained frequency-domain energy of the first data signal, the frequency-domain energy of the second data signal and the frequency-domain energy of the third data signal to obtain the dispersion point corresponding to the maximum frequency-domain energy.

Step S6000, setting the dispersion value of the dispersion compensation module as the obtained dispersion value of the dispersion point corresponding to the maximum frequency domain energy.

Referring to FIG. 6, step S4000 in this embodiment specifically includes the following steps:

Step S4001, performing energy processing on the third signal in the frequency domain to obtain an energy dispersion value in the frequency domain of the third signal.

Step S4002: Filter out the noise part of the frequency-domain energy dispersion value of the third signal to obtain the frequency-domain energy dispersion value of the third data signal.

Step S4003, performing weighted average processing on the frequency-domain energy dispersion value of the third data signal to obtain the frequency-domain energy of the third data signal.

In the embodiment of the present invention, the frequency domain energy, The frequency-domain energy of the second data signal is compared with the frequency-domain energy of the third data signal to obtain a preset dispersion value corresponding to the maximum energy value, which is an optimal dispersion value. In order to ensure the accuracy of the final result, more preset values can be set. For example, the preset value starts from -700ps/(nm×km) and increases to +700ps/(nm×km) with a step size of 100ps/(nm×km). nm×km) end.

Embodiment two

As shown in Figure 7, it is a schematic diagram of the application of the method of dispersion compensation in the embodiment of the present invention in the twin subracks. The transmitting end of subrack 1 is connected to the receiving end of subrack 2 through the dispersion compensation module; the transmitting end of subrack 2 is through dispersion compensation. The module is connected to the receiving end of subrack 1; the connection line between subrack 1 and subrack 2 is optical fiber, and the working steps are as follows:

Step 1: Set the dispersion value of the dispersion compensation module to -700ps/(nm×km).

Step 2: The dispersion compensation module performs a dispersion scan on the receiving side to obtain a receiving performance curve.

Step 3: Discrete Fourier transform processing is performed on the performance curve, and energy change processing is performed to obtain a frequency domain energy curve.

Step 4: Denoise the frequency domain energy curve, remove the energy of the noise part, obtain the energy of the data signal part, and perform weighted average processing on the part energy of the data signal to obtain the frequency domain energy value under the dispersion.

Step 5: Increase the dispersion value of the dispersion compensation module by 100ps/(nm×km) until the dispersion value of the dispersion compensation module reaches +700ps/(nm×km), repeat steps 1 to 4 to obtain the frequency domain energy value.

Step 6: According to the obtained frequency domain energy values of each group, take the dispersion value corresponding to the maximum frequency domain energy value, set the dispersion value of the dispersion compensation module to this dispersion value, and obtain the optimal dispersion value of the system.

Embodiment Three

As shown in Figure 8, it is a schematic diagram of the application of the embodiment of the present invention in the remote transmission of a single subrack. When it is necessary to transmit the remote signal to the receiving end of the device A1, the receiving end of the device A1 is connected to the remote signal using an optical fiber, and the device A1 The sender may not be connected. After the optical fiber is connected, it does not need to be changed in future use. The implementation of specific steps is shown in Example 2.

Embodiment four

When the receiving end of device A1 needs to be connected with the sending end to realize the loopback function, it is only necessary to connect the sending end of A1 to the receiving end of A1 through optical fiber. The specific steps for implementing the loopback function by connecting the sending end and the receiving end of the subrack through an optical fiber are shown in Embodiment 2.

Embodiment five

As shown in FIG. 9 , the dispersion compensation device of the embodiment of the present invention includes: a first acquisition module 100, a first conversion module 200, a first filter module 300, a first adjustment module 400, a second acquisition module 500, and a second conversion module 600, the second filtering module 700 and the first processing module 800; the first acquisition module 100 collects the first signal in the time domain passing through the dispersion compensation module, and the dispersion value of the dispersion compensation module at this time is the first preset value; the first conversion module 200 transforms the collected first signal in the time domain into the frequency domain to obtain the first signal in the frequency domain; the first filtering module 300 performs denoising and processing on the first signal in the frequency domain to obtain the first data in the first signal in the frequency domain The frequency domain energy of the signal; the first adjustment module 400 adjusts the dispersion value of the dispersion compensation module to a second preset value; the second acquisition module 500 collects the second signal in the time domain passing through the dispersion compensation module; the second conversion module 600 collects The second signal in the time domain is transformed into the frequency domain to obtain the second signal in the frequency domain; the second filtering module 700 performs denoising and processing on the second signal in the frequency domain to obtain the frequency of the second data signal in the second signal in the frequency domain. Domain energy: the first processing module 800 performs dispersion compensation adjustment on the dispersion compensation module according to the obtained frequency domain energy of the first data signal and the frequency domain energy of the second data signal. It should be noted that the first preset value and the second preset value can be set arbitrarily, and the first adjustment module 400 can change the dispersion value of the dispersion compensation module arbitrarily, that is to say, multiple preset values can be set to work.

As shown in FIG. 10, the first processing module 800 in this embodiment includes: a first comparison unit 801 and a first setting unit 802; the first comparison unit 801 compares the frequency domain energy of the first data signal and the frequency Domain energies are compared, and the dispersion point corresponding to the maximum frequency domain energy is obtained; the first setting unit 802 sets the dispersion value of the dispersion compensation module to the obtained dispersion value of the dispersion point corresponding to the maximum frequency domain energy.

The device as shown in Figure 11 also includes: a second adjustment module 1000, a third collection module 2000, a third conversion module 3000, a third filtering module 4000 and a second processing module 5000; the second adjustment module 1000 and the first adjustment module 400 The functions are similar, the dispersion value of the dispersion compensation module can be changed, and its dispersion value is set to the third preset value; the function of the third acquisition module 2000 is similar to that of the first acquisition module 100 and the second acquisition module 500 and can collect signals , collect the third signal in the time domain received by the dispersion compensation module at the third preset dispersion value; the function of the third conversion module 3000 is similar to that of the first conversion module 200 and the second conversion module 600, and the time domain can be converted to The signal is converted into a frequency domain signal, and the third signal in the time domain is transformed from the time domain to the frequency domain to obtain the third signal in the frequency domain; the function of the third filtering module 4000 is similar to that of the first filtering module 300 and the second filtering module 700 , the frequency domain signal can be denoised and processed, and the frequency domain third signal can be denoised and processed to obtain the frequency domain energy of the third data signal in the frequency domain third signal; the function of the second processing module 5000 is the same as that of the first frequency domain signal A processing module 800 has similar functions, and performs processing according to the received frequency domain energy, and compensates for dispersion according to the obtained frequency domain energy of the first data signal, the frequency domain energy of the second data signal, and the frequency domain energy of the third data signal The module performs dispersion compensation adjustment. It should be noted that because the functions of the second adjustment module 1000 are similar to those of the first adjustment module 400, the functions of the third acquisition module 2000 are similar to those of the first acquisition module 100 and the second acquisition module 500, and the functions of the third conversion module 3000 The function is similar to the function of the first conversion module 200 and the second conversion module 600, the function of the third filtering module 4000 is similar to the function of the first filtering module 300 and the second filtering module 700, the function of the second processing module 5000 is similar to that of the first The functions of the processing module 800 are similar, and the dispersion compensation device in the embodiment of the present invention may only have one adjustment module, one acquisition module, one conversion module, one filter module and one processing module, and of course it is not limited thereto.

As shown in FIG. 12, the second processing module 5000 in this embodiment includes: a second comparison unit 5001 and a second setting unit 5002; the second comparison unit 5001 converts the frequency domain energy of the first data signal, the frequency domain energy and the frequency domain energy of the third data signal, and obtain the dispersion point corresponding to the maximum frequency domain energy; the second setting unit 5002 sets the dispersion value of the dispersion compensation module to the obtained maximum frequency domain energy corresponding to the dispersion point The dispersion value of the point.

As shown in Figure 13, the first filter module 300 in this embodiment includes a first energy conversion unit 301, a first filter unit 302, and a first calculation unit 303; the first energy conversion unit 301 performs energy processing on the first signal in the frequency domain , to obtain the frequency-domain energy dispersion value of the first signal; the first filtering unit 302 filters out the noise part of the frequency-domain energy dispersion value of the first signal, and obtains the frequency-domain energy dispersion value of the first data signal; the first calculation unit 303 Perform weighted average processing on the frequency-domain energy dispersion value of the first data signal to obtain frequency-domain energy of the first data signal. It should be noted that the first filtering module 300 can be implemented by software, which saves hardware costs.

As shown in Figure 14, the second filter module 700 in this embodiment includes a second energy conversion unit 701, a second filter unit 702, and a second calculation unit 703; the second energy conversion unit 701 performs energy processing on the second signal in the frequency domain , to obtain the frequency-domain energy dispersion value of the second signal; the second filtering unit 702 filters out the noise part of the frequency-domain energy dispersion value of the second signal to obtain the frequency-domain energy dispersion value of the second data signal; the second calculation unit 703 Perform weighted average processing on the frequency-domain energy dispersion value of the second data signal to obtain frequency-domain energy of the second data signal. It should be noted that the second filtering module 700 can be implemented by software, which saves hardware costs.

As shown in Figure 15, the third filtering module 4000 in this embodiment includes a third energy conversion unit 4001, a third filtering unit 4002, and a third calculation unit 4003; the third energy conversion unit 4001 performs energy processing on the third signal in the frequency domain , to obtain the frequency-domain energy dispersion value of the third signal; the third filtering unit 4002 filters out the noise part of the frequency-domain energy dispersion value of the third signal to obtain the frequency-domain energy dispersion value of the third data signal; the third calculation unit 4003 Perform weighted average processing on the frequency-domain energy dispersion value of the third data signal to obtain the frequency-domain energy of the third data signal. It should be noted that the third filtering module 4000 can be implemented by software, which saves hardware costs.

The above is a preferred embodiment of the present invention, it should be pointed out that for those skilled in the art, some improvements and modifications can also be made without departing from the principles of the present invention, and these improvements and modifications are also within the protection scope of the present invention Inside.

Claims (14)

1. A method for dispersion compensation, comprising: Collecting the first time-domain signal received by the dispersion compensation module under the first preset dispersion value; transforming the first signal in the time domain from the time domain to the frequency domain to obtain a transformed first signal in the frequency domain; Denoising and processing the first signal in the frequency domain to obtain frequency domain energy of a first data signal in the first signal in the frequency domain; adjusting the dispersion value of the dispersion compensation module to a second preset dispersion value; collecting a second signal in the time domain received by the dispersion compensation module at a second preset dispersion value; transforming the second signal in the time domain from the time domain to the frequency domain to obtain a transformed second signal in the frequency domain; Denoising and processing the second signal in the frequency domain to obtain frequency domain energy of a second data signal in the second signal in the frequency domain; Perform dispersion compensation adjustment on the dispersion compensation module according to the obtained frequency domain energy of the first data signal and the frequency domain energy of the second data signal. 2. The method according to claim 1, wherein the dispersion compensation adjustment is performed on the dispersion compensation module according to the obtained frequency domain energy of the first data signal and the frequency domain energy of the second data signal, Specifically include: Comparing the obtained frequency-domain energy of the first data signal with the frequency-domain energy of the second data signal to obtain a dispersion point corresponding to the maximum frequency-domain energy; The dispersion value of the dispersion compensation module is set as the obtained dispersion value of the dispersion point corresponding to the maximum frequency domain energy. 3. The method according to claim 1, wherein, before performing dispersion compensation adjustment on the dispersion compensation module according to the obtained frequency domain energy of the first data signal and the frequency domain energy of the second data signal, The method also includes: adjusting the dispersion value of the dispersion compensation module to a third preset dispersion value; collecting a third signal in the time domain received by the dispersion compensation module at a third preset dispersion value; transforming the third signal in the time domain from the time domain to the frequency domain to obtain a transformed third signal in the frequency domain; Denoising and processing the third signal in the frequency domain to obtain frequency domain energy of a third data signal in the third signal in the frequency domain; Correspondingly, the adjusting the dispersion compensation module for the dispersion compensation module according to the obtained frequency domain energy of the first data signal and the frequency domain energy of the second data signal specifically includes: Comparing the obtained frequency-domain energy of the first data signal, the frequency-domain energy of the second data signal, and the frequency-domain energy of the third data signal to obtain a dispersion point corresponding to the maximum frequency-domain energy; The dispersion value of the dispersion compensation module is set as the obtained dispersion value of the dispersion point corresponding to the maximum frequency domain energy. 4. The method according to claim 3, wherein the first preset dispersion value and the second preset dispersion value are respectively located at -700 ps/(nm×km) to +700 ps/(nm ×km), the third preset dispersion value is located between the first preset dispersion value and the second preset dispersion value. 5. The method according to claim 1, wherein the first signal in the frequency domain is denoised and processed to obtain the frequency domain energy of the first data signal in the first signal in the frequency domain, Specifically include: performing energy processing on the first signal in the frequency domain to obtain an energy dispersion value in the frequency domain of the first signal; filtering the noise part of the frequency domain energy dispersion value of the first signal to obtain the frequency domain energy dispersion value of the first data signal; Performing weighted average processing on the frequency-domain energy dispersion value of the first data signal to obtain the frequency-domain energy of the first data signal. 6. The method according to claim 1, wherein the second signal in the frequency domain is denoised and processed to obtain the frequency domain energy of the second data signal in the second signal in the frequency domain, Specifically include: performing energy processing on the second signal in the frequency domain to obtain an energy dispersion value in the frequency domain of the second signal; filtering the noise part of the frequency domain energy dispersion value of the second signal to obtain the frequency domain energy dispersion value of the second data signal; Performing weighted average processing on the frequency-domain energy dispersion value of the second data signal to obtain the frequency-domain energy of the second data signal. 7. The method according to claim 3, wherein the denoising and processing are performed on the third signal in the frequency domain to obtain the frequency domain energy of the third data signal in the third signal in the frequency domain, Specifically: performing energy processing on the third signal in the frequency domain to obtain an energy dispersion value in the frequency domain of the third signal; filtering the noise part of the frequency-domain energy dispersion value of the third signal to obtain the frequency-domain energy dispersion value of the third data signal; Performing weighted average processing on the frequency-domain energy dispersion value of the third data signal to obtain the frequency-domain energy of the third data signal. 8. A device for dispersion compensation, comprising: The first acquisition module is configured to acquire the first signal in the time domain received by the dispersion compensation module under a first preset dispersion value; A first conversion module, configured to transform the first signal in the time domain from the time domain to the frequency domain to obtain a transformed first signal in the frequency domain; A first filtering module, configured to denoise and process the first signal in the frequency domain, to obtain the frequency domain energy of the first data signal in the first signal in the frequency domain; a first adjustment module, configured to adjust the dispersion value of the dispersion compensation module to a second preset dispersion value; The second collection module is used to collect the second time-domain signal received by the dispersion compensation module under the second preset dispersion value; A second conversion module, configured to transform the second signal in the time domain from the time domain to the frequency domain to obtain a transformed second signal in the frequency domain; A second filtering module, configured to denoise and process the second signal in the frequency domain to obtain the frequency domain energy of the second data signal in the second signal in the frequency domain; The first processing module is configured to perform dispersion compensation adjustment on the dispersion compensation module according to the obtained frequency domain energy of the first data signal and the frequency domain energy of the second data signal. 9. The device according to claim 8, wherein the first processing module comprises: A first comparison unit, configured to compare the obtained frequency-domain energy of the first data signal with the frequency-domain energy of the second data signal to obtain a dispersion point corresponding to the maximum frequency-domain energy; The first setting unit is configured to set the dispersion value of the dispersion compensation module to the obtained dispersion value of the dispersion point corresponding to the maximum frequency domain energy. 10. The device of claim 8, further comprising: A second adjustment module, configured to adjust the dispersion value of the dispersion compensation module to a third preset dispersion value; A third collection module, configured to collect the third signal in the time domain received by the dispersion compensation module under a third preset dispersion value; A third conversion module, configured to transform the third signal in the time domain from the time domain to the frequency domain to obtain a transformed third signal in the frequency domain; A third filtering module, configured to denoise and process the third signal in the frequency domain to obtain frequency domain energy of a third data signal in the third signal in the frequency domain; The second processing module is configured to perform dispersion compensation adjustment on the dispersion compensation module according to the obtained frequency-domain energy of the first data signal, the frequency-domain energy of the second data signal, and the frequency-domain energy of the third data signal . 11. The device according to claim 10, wherein the second processing module comprises: The second comparison unit is configured to compare the obtained frequency-domain energy of the first data signal, the frequency-domain energy of the second data signal and the frequency-domain energy of the third data signal to obtain the maximum frequency-domain energy The corresponding dispersion point; The second setting unit is configured to set the dispersion value of the dispersion compensation module to the obtained dispersion value of the dispersion point corresponding to the maximum frequency domain energy. 12. The device of claim 8, wherein the first filter module comprises: The first energy conversion unit is configured to perform energy processing on the frequency-domain first signal to obtain a frequency-domain energy dispersion value of the first signal; The first filtering unit is configured to filter out the noise part of the frequency-domain energy dispersion value of the first signal to obtain the frequency-domain energy dispersion value of the first data signal; The first calculation unit is configured to perform weighted average processing on the frequency-domain energy dispersion value of the first data signal to obtain the frequency-domain energy of the first data signal. 13. The apparatus of claim 8, wherein the second filter module comprises: a second energy conversion unit, configured to perform energy processing on the second signal in the frequency domain to obtain an energy dispersion value in the frequency domain of the second signal; The second filtering unit is configured to filter out the noise part of the frequency-domain energy dispersion value of the second signal to obtain the frequency-domain energy dispersion value of the second data signal; The second calculation unit is configured to perform weighted average processing on the frequency-domain energy dispersion value of the second data signal to obtain the frequency-domain energy of the second data signal. 14. The device of claim 10, wherein the third filtering module comprises: a third energy conversion unit, configured to perform energy processing on the frequency-domain third signal to obtain a frequency-domain energy dispersion value of the third signal; The third filtering unit is configured to filter out the noise part of the frequency-domain energy dispersion value of the third signal to obtain the frequency-domain energy dispersion value of the third data signal; The third calculation unit is configured to perform weighted average processing on the frequency-domain energy dispersion value of the third data signal to obtain the frequency-domain energy of the third data signal.