Digital signal sorting method and device

Abstract

The invention discloses a digital signal sorting method and device, and belongs to the technical field of digital signal sorting, and the method comprises the steps: respectively obtaining real part data and imaginary part data according to data types, calculating the corresponding amplitude values, setting an adaptive threshold according to the number of channels, carrying out the over-threshold judgment of each frame of data, and carrying out the calculation of the amplitude values. And when the continuous number of accumulated data exceeds a set threshold value, measuring points corresponding to continuous amplitude values greater than 0, repeating the process until data traversal is finished, finally obtaining pulse description words, dividing channel sequence numbers according to intermediate frequency offset and set bandwidth, performing clustering sorting on the channel sequence numbers, counting parameters such as intermediate frequency and repetition period, and finally performing data traversal. Extracting an output signal; according to the method, original data are screened, channelized measurement is realized through a software end, the measurement is more detailed, and the accuracy is further improved; whether the data is valid or not is judged through the self-adaptive threshold, errors of manual setting are corrected, efficiency is improved, and operation is easy; the process is simplified, and the processing timeliness is improved.

Description

Technical Field

[0001] The invention relates to a digital signal sorting method and device, belonging to the technical field of digital signal sorting. Background Art

[0002] Signal sorting refers to the process of separating pulses of the same signal and selecting useful signals from the randomly interleaved pulse stream received by the reconnaissance receiver.

[0003] At present, signal sorting is mainly implemented through a combination of field programmable gate array (FPGA) measurement and software pulse sorting. The FPGA measures the digital signal according to the measurement threshold to obtain the pulse description word, and the software side sorts and extracts the signal according to the intermediate frequency, pulse width, arrival time, azimuth and other parameters in the pulse description word. Due to the fast processing speed of FPGA, the entire system can respond quickly and reduce the amount of sorting calculations. However, since its detection threshold is generally set manually according to the current situation, different measurement threshold settings will cause large errors in the measurement results, resulting in inaccurate parameters related to the pulse description word, affecting the sorting accuracy, and failing to meet the high-precision requirements of the system. Summary of the invention

[0004] The purpose of the present invention is to provide a digital signal sorting method and device to solve the problem of low precision in the sorting process in the prior art.

[0005] To achieve the above objectives, the present invention is implemented by adopting the following technical solutions:

[0006] In a first aspect, the present invention provides a digital signal sorting method, comprising:

[0007] Get the digital signal and calculate the number of points of the digital signal;

[0008] If the acquired digital signal is a real signal, convert it into a complex signal, and then extract the real data and the imaginary data therefrom; if the acquired digital signal is a complex signal, directly extract the real data and the imaginary data therefrom;

[0009] Calculate the amplitude value of each point of the digital signal according to the real data and the imaginary data, and calculate the adaptive threshold according to the amplitude value;

[0010] Based on the number of points of the digital signal, the following operations are performed: all points are traversed, the amplitude value of each point is compared with the corresponding adaptive threshold, and the amplitude value that does not exceed the adaptive threshold is set to 0;

[0011] Search for consecutive CalNum amplitude values ​​greater than 0. If CalNum is greater than dl, where dl is the preset minimum number of processing points, measure the pulse parameters of the points corresponding to the first dl consecutive amplitude values ​​greater than 0 to obtain the corresponding pulse description word.

[0012] After the measurement is completed, if the number of remaining points is greater than dl, CalNum is set to 0 and the search step is returned;

[0013] After the measurement is completed, if the number of remaining points is not greater than dl, the digital signal is clustered and sorted according to the pulse description word to obtain the standby signal, and then the pulse corresponding to the standby signal is deleted. This step is repeated until the number of remaining pulse description words is less than the preset value, and all standby signals are integrated into the output signal.

[0014] Furthermore, the number of points of the digital signal is calculated by the following formula:

[0015] Num=f s *t;

[0016] Among them, Num is the number of points of the digital signal, f s is the sampling rate and t is the sampling time.

[0017] Furthermore, the amplitude value of each point of the digital signal is calculated according to the real data and the imaginary data, and is performed by the following formula:

[0018] ;

[0019] Among them, Amp n is the amplitude value of the digital signal at point n, I n is the real part data of the digital signal at point n, Q n It is the imaginary part data of the digital signal at the nth point.

[0020] Furthermore, the adaptive threshold is calculated according to the amplitude value by the following formula:

[0021] ;

[0022] Among them, Thr n+1 is the adaptive threshold of the digital signal at point n+1, Thr n is the adaptive threshold of the nth point of the digital signal, NumCh is the number of channels of the digital signal, K is a preset constant, and Thr0 is the preset initial threshold.

[0023] Furthermore, the pulse description word includes intermediate frequency deviation, pulse width and arrival time, which are calculated by the following formulas respectively:

[0024] ;

[0025] ;

[0026] ;

[0027] Among them, deltaf is the intermediate frequency deviation, bw is the bandwidth of the digital signal, n is the sequence number of the current point of the digital signal, pw is the pulse width, and toa is the arrival time.

[0028] Furthermore, the traversing of all points, comparing the amplitude value of each point with the corresponding adaptive threshold, and setting the amplitude value that does not exceed the adaptive threshold to 0 includes:

[0029] Starting from n=1, execute the following loop:

[0030] S1, Amp n and Thr n Make comparisons;

[0031] S2, if Thr n <Amp n , and n≤Num, then increase n by one and return to step S1;

[0032] If Thr n <Amp n , and n>Num, then the loop ends;

[0033] If Thr n ≥Amp n , then Amp n Set to 0. If n>Num at this time, the loop ends;

[0034] If Thr n ≥Amp n , then Amp n Set to 0. If n≤Num, then add one to n and return to step S1.

[0035] Where Num is the number of points of the digital signal.

[0036] Furthermore, the step of clustering and sorting the digital signal according to the pulse description word to obtain a useful digital signal includes:

[0037] The channel number of the digital signal is determined according to the pulse description word, and each channel of the digital signal is clustered and sorted to obtain a useful digital signal.

[0038] Further, the channel number of the digital signal is determined according to the pulse description word by the following formula:

[0039] ;

[0040] Among them, ch is the channel number of the digital signal, NumCh is the number of channels of the digital signal, deltaf is the intermediate frequency deviation, and bw is the bandwidth of the digital signal.

[0041] Furthermore, after obtaining the useful digital signal, the method further includes the step of calculating the intermediate frequency and repetition period of the useful digital signal;

[0042] The intermediate frequency is calculated by the following formula:

[0043] cf = Mcf + delta f;

[0044] Among them, cf is the intermediate frequency, Mcf is the intermediate frequency reference, and deltaf is the intermediate frequency deviation;

[0045] The repetition period is calculated by the following formula:

[0046] pri=toa n+1 + toa n ;

[0047] Among them, pri is the repetition period, toa n is the arrival time of the nth point of the digital signal.

[0048] In a second aspect, the present invention provides a digital signal sorting device, comprising:

[0049] The signal acquisition module is configured to: acquire a digital signal and calculate the number of points of the digital signal;

[0050] The data extraction module is configured to: if the acquired digital signal is a real signal, convert it into a complex signal, and then extract the real data and the imaginary data therefrom; if the acquired digital signal is a complex signal, directly extract the real data and the imaginary data therefrom;

[0051] The amplitude calculation module is configured to: calculate the amplitude value of each point of the digital signal according to the real data and the imaginary data, and calculate the adaptive threshold according to the amplitude value;

[0052] The amplitude comparison module is configured to: perform the following operations based on the number of points of the digital signal: traverse all points, compare the amplitude value of each point with the corresponding adaptive threshold, and set the amplitude value that does not exceed the adaptive threshold to 0;

[0053] The search module is configured to: search for consecutive CalNum amplitude values ​​greater than 0, if CalNum is greater than dl, dl is a preset minimum number of processing points, measure the pulse parameters of the points corresponding to the first dl consecutive amplitude values ​​greater than 0, and obtain the corresponding pulse description word;

[0054] The determination module is configured as follows: after the measurement is completed, if the number of remaining points is greater than dl, CalNum is set to 0 and the search step is returned to again;

[0055] The sorting module is configured as follows: if the number of remaining points is not greater than dl after the measurement is completed, the digital signal is clustered and sorted according to the pulse description word to obtain a standby signal, and then the pulse corresponding to the standby signal is deleted, and this step is repeated until the number of remaining pulse description words is less than a preset value, and all standby signals are integrated into an output signal.

[0056] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0057] The present invention provides a digital signal sorting method and device, which screens and measures the original data, is more detailed than the combination of traditional FPGA measurement and software pulse sorting, so that the sorting measurement accuracy is further improved; the validity of the data is determined by an adaptive threshold, the error set manually is corrected, the processing efficiency is higher, and the operation is simpler; the process is further streamlined, and the processing timeliness is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 The present invention provides a flowchart of a digital signal sorting method. DETAILED DESCRIPTION

[0059] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and are not intended to limit the protection scope of the present invention.

[0060] Example 1.

[0061] The present invention provides a digital signal sorting method, comprising:

[0062] Get the digital signal and calculate the number of points of the digital signal;

[0063] If the acquired digital signal is a real signal, convert it into a complex signal, and then extract the real data and the imaginary data therefrom; if the acquired digital signal is a complex signal, directly extract the real data and the imaginary data therefrom;

[0064] Calculate the amplitude value of each point of the digital signal according to the real data and the imaginary data, and calculate the adaptive threshold according to the amplitude value;

[0065] Based on the number of points of the digital signal, the following operations are performed: all points are traversed, the amplitude value of each point is compared with the corresponding adaptive threshold, and the amplitude value that does not exceed the adaptive threshold is set to 0;

[0066] Search for consecutive CalNum amplitude values ​​greater than 0. If CalNum is greater than dl, where dl is the preset minimum number of processing points, measure the pulse parameters of the points corresponding to the first dl consecutive amplitude values ​​greater than 0 to obtain the corresponding pulse description word.

[0067] After the measurement is completed, if the number of remaining points is greater than dl, CalNum is set to 0 and the search step is returned;

[0068] After the measurement is completed, if the number of remaining points is not greater than dl, the digital signal is clustered and sorted according to the pulse description word to obtain the standby signal, and then the pulse corresponding to the standby signal is deleted. This step is repeated until the number of remaining pulse description words is less than the preset value, and all standby signals are integrated into the output signal.

[0069] The present invention performs screening measurements from raw data, which is more detailed than the combination of traditional FPGA measurement and software pulse sorting, thereby further improving the accuracy of sorting measurements; the validity of data is determined by adaptive thresholds, which corrects manually set errors and has higher processing efficiency and simpler operation; the process is further streamlined, and processing timeliness is improved.

[0070] Example 2.

[0071] like Figure 1 As shown, the present invention provides a digital signal sorting method, including the following steps 1 to 11.

[0072] Step 1: Initialization, calculate the number of points of the input digital signal, set the intermediate frequency reference to Mcf, and calculate the number of points of the digital signal using the following formula:

[0073] Num=f s *t;

[0074] Among them, Num is the number of points of the digital signal, f s is the sampling rate and t is the sampling time.

[0075] In this embodiment, f s =3.2*10 9 Hz, t=100ms, Mcf=100M Hz.

[0076] Step 2: Determine the data type of the digital signal. If the data type is a real signal, go to step 3. If the data type is a complex signal, save its real and imaginary data separately and jump to step 4.

[0077] Step 3: Perform Hilbert transform on the digital signal, convert the real signal into a complex signal, and save the real part data I n and imaginary data Q n , n is the current point number, go to step 4.

[0078] Step 4: Calculate the amplitude value of each point of the input digital signal using the following formula:

[0079] ;

[0080] Among them, Amp n is the amplitude value of the digital signal at point n, I n is the real part data of the digital signal at point n, Q n It is the imaginary part data of the digital signal at the nth point.

[0081] Step 5: Set the initial threshold Thr0. The calculation formula of the adaptive threshold is:

[0082] ;

[0083] Among them, Thr n+1 is the adaptive threshold of the digital signal at point n+1, Thr n is the adaptive threshold of the nth point of the digital signal, NumCh is the number of channels of the digital signal, K is a preset constant, and Thr0 is preset.

[0084] In this embodiment, Thr0=800, K=4, and NumCh=64.

[0085] Step 6: Compare the amplitude value of each point with the corresponding threshold. If it does not exceed the threshold, set its data to 0 until all points are traversed.

[0086] Step 7: Search for points with amplitudes other than 0. Start counting when the first non-zero amplitude value appears, and continue counting until the next point with an amplitude value of 0. If the number of counted points CalNum is greater than d1, go to step 8, otherwise end. d1 is the minimum number of processing points. In this embodiment, let d1=32.

[0087] Step 8: Measure d1 points that appear continuously to obtain the pulse description word, including the frequency deviation, pulse width and arrival time; if the number of remaining data points ResNum is greater than d1, the counting point number CalNum is cleared and step 7 is repeated, otherwise go to step 9.

[0088] Step 9: Determine the channel number based on the intermediate frequency deviation, bandwidth and number of channels, cluster and sort the signals of each channel, and count the intermediate frequency, repetition period and other parameters of the signal. After the signal is extracted, delete the corresponding pulse.

[0089] Step 10: Determine the number of remaining pulse description words. When it is less than the minimum number of signal extraction pulses MinNum, go to step 11, otherwise repeat step 9; in this embodiment, MinNum=5.

[0090] Step 11: End.

[0091] The calculation formulas for the intermediate frequency deviation, pulse width and arrival time in step 8 are:

[0092] ;

[0093] ;

[0094] ;

[0095] Among them, deltaf is the intermediate frequency deviation, bw is the bandwidth of the digital signal, n is the sequence number of the current point of the digital signal, pw is the pulse width, and toa is the arrival time.

[0096] The calculation formula for the channel number in step 9 is:

[0097] ;

[0098] Among them, ch is the channel number of the digital signal, NumCh is the number of channels of the digital signal, deltaf is the intermediate frequency deviation, and bw is the bandwidth of the digital signal.

[0099] The calculation formulas for the intermediate frequency and repetition period in step 9 are:

[0100] cf = Mcf + delta f;

[0101] Among them, cf is the intermediate frequency, Mcf is the intermediate frequency reference, and deltaf is the intermediate frequency deviation;

[0102] pri=toa n+1 + toa n ;

[0103] Among them, pri is the repetition period, toa n is the arrival time of the nth point of the digital signal.

[0104] In this embodiment, the following simulation is performed:

[0105] First, generate a fixed signal and a diversity signal, whose parameters are a fixed signal of cf = 100MHz, pw = 10us, pri = 100us and a diversity signal of cf = {60; 70; 90; 100; 110; 150}MHz, pw = 20us, pri = 120us. In step 1, let f s =3.2*10 9 Hz, t=100ms, Mcf=100M Hz, calculate its data length; according to its data type, convert it into the data format required by this method according to steps 2 and 3;

[0106] After the data conversion is completed, follow steps 4 to 7 to calculate the amplitude value and determine whether the data exceeds the threshold, and count the number of data that exceeds the threshold.

[0107] According to step 8, pulse measurement is performed on the statistical data to obtain its pulse description word;

[0108] According to step 9, the statistical data is divided into channels, pulses are sorted, output signals are obtained, and corresponding pulses are deleted;

[0109] After the signal extraction is completed, the number of remaining pulses is determined according to step 10. If the number is greater than 5, return to step 8) to continue extraction. Otherwise, end according to step 11.

[0110] After the above processing, a fixed signal of cf = 100MHz, pw = 10us, pri = 100us is extracted from channel 0; and a diversity signal of pw = 20us, pri = 120us is extracted by combining channels 0, 3, 16, 53, 57, and 60.

[0111] Example 3.

[0112] This embodiment provides a digital signal sorting device, including:

[0113] The signal acquisition module is configured to: acquire a digital signal and calculate the number of points of the digital signal;

[0114] The data extraction module is configured to: if the acquired digital signal is a real signal, convert it into a complex signal, and then extract the real data and the imaginary data therefrom; if the acquired digital signal is a complex signal, directly extract the real data and the imaginary data therefrom;

[0115] The amplitude calculation module is configured to: calculate the amplitude value of each point of the digital signal according to the real data and the imaginary data, and calculate the adaptive threshold according to the amplitude value;

[0116] The amplitude comparison module is configured to: perform the following operations based on the number of points of the digital signal: traverse all points, compare the amplitude value of each point with the corresponding adaptive threshold, and set the amplitude value that does not exceed the adaptive threshold to 0;

[0117] The search module is configured to: search for consecutive CalNum amplitude values ​​greater than 0, if CalNum is greater than dl, dl is a preset minimum number of processing points, measure the pulse parameters of the points corresponding to the first dl consecutive amplitude values ​​greater than 0, and obtain the corresponding pulse description word;

[0118] The determination module is configured as follows: after the measurement is completed, if the number of remaining points is greater than dl, CalNum is set to 0 and the search step is returned to again;

[0119] The sorting module is configured as follows: if the number of remaining points is not greater than dl after the measurement is completed, the digital signal is clustered and sorted according to the pulse description word to obtain a standby signal, and then the pulse corresponding to the standby signal is deleted, and this step is repeated until the number of remaining pulse description words is less than a preset value, and all standby signals are integrated into an output signal.

[0120] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0121] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0122] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0123] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0124] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A digital signal sorting method, characterized in that: include: Get the digital signal and calculate the number of points of the digital signal; If the acquired digital signal is a real signal, convert it into a complex signal, and then extract the real data and the imaginary data therefrom; if the acquired digital signal is a complex signal, directly extract the real data and the imaginary data therefrom; Calculate the amplitude value of each point of the digital signal according to the real data and the imaginary data, and calculate the adaptive threshold according to the amplitude value; Based on the number of points of the digital signal, the following operations are performed: all points are traversed, the amplitude value of each point is compared with the corresponding adaptive threshold, and the amplitude value that does not exceed the adaptive threshold is set to 0; Search for consecutive CalNum amplitude values ​​greater than 0. If CalNum is greater than dl, where dl is the preset minimum number of processing points, measure the pulse parameters of the points corresponding to the first dl consecutive amplitude values ​​greater than 0 to obtain the corresponding pulse description word. After the measurement is completed, if the number of remaining points is greater than dl, CalNum is set to 0 and the search step is returned; After the measurement is completed, if the number of remaining points is not greater than dl, the digital signal is clustered and sorted according to the pulse description word to obtain the standby signal, and then the pulse corresponding to the standby signal is deleted. This step is repeated until the number of remaining pulse description words is less than the preset value, and all standby signals are integrated into the output signal.

2. The digital signal sorting method according to claim 1, characterized in that: The number of points of the digital signal is calculated by the following formula: Num=f s *t; Among them, Num is the number of points of the digital signal, f s is the sampling rate and t is the sampling time.

3. The digital signal sorting method according to claim 1, characterized in that: The amplitude value of each point of the digital signal is calculated according to the real data and the imaginary data, and is performed by the following formula: ； Among them, Amp n is the amplitude value of the digital signal at point n, I n is the real part data of the digital signal at point n, Q n It is the imaginary part data of the digital signal at the nth point.

4. The digital signal sorting method according to claim 3, characterized in that: The adaptive threshold is calculated according to the amplitude value by the following formula: ； Among them, Thr n+1 is the adaptive threshold of the digital signal at point n+1, Thr n is the adaptive threshold of the nth point of the digital signal, NumCh is the number of channels of the digital signal, K is a preset constant, and Thr0 is the preset initial threshold.

5. The digital signal sorting method according to claim 3, characterized in that: The pulse description word includes intermediate frequency deviation, pulse width and arrival time, which are calculated by the following formulas respectively: ； ； ； Among them, deltaf is the intermediate frequency deviation, bw is the bandwidth of the digital signal, n is the sequence number of the current point of the digital signal, pw is the pulse width, and toa is the arrival time.

6. The digital signal sorting method according to claim 4, characterized in that: The traversing of all points, comparing the amplitude value of each point with the corresponding adaptive threshold, and setting the amplitude value that does not exceed the adaptive threshold to 0 includes: Starting from n=1, execute the following loop: S1, Amp n and Thr n Make comparisons; S2, if Thr n <Amp n , and n≤Num, then increase n by one and return to step S1; If Thr n <Amp n , and n>Num, then the loop ends; If Thr n ≥Amp n , then Amp n Set to 0. If n>Num at this time, the loop ends; If Thr n ≥Amp n , then Amp n Set to 0. If n≤Num, then add one to n and return to step S1. Where Num is the number of points of the digital signal.

7. The digital signal sorting method according to claim 1, characterized in that: The step of clustering and sorting the digital signal according to the pulse description word to obtain a useful digital signal includes: The channel number of the digital signal is determined according to the pulse description word, and each channel of the digital signal is clustered and sorted to obtain a useful digital signal.

8. The digital signal sorting method according to claim 1, characterized in that: The channel number of the digital signal is determined according to the pulse description word by the following formula: ； Among them, ch is the channel number of the digital signal, NumCh is the number of channels of the digital signal, deltaf is the intermediate frequency deviation, and bw is the bandwidth of the digital signal.

9. The digital signal sorting method according to claim 1, characterized in that: After obtaining the useful digital signal, the method further includes the step of calculating the intermediate frequency and repetition period of the useful digital signal; The intermediate frequency is calculated by the following formula: cf = Mcf + delta f; Among them, cf is the intermediate frequency, Mcf is the intermediate frequency reference, and deltaf is the intermediate frequency deviation; The repetition period is calculated by the following formula: pri=toa n+1 + hero n ; Among them, pri is the repetition period, toa n is the arrival time of the nth point of the digital signal.

10. A digital signal sorting device, characterized in that: include: The signal acquisition module is configured to: acquire a digital signal and calculate the number of points of the digital signal; The data extraction module is configured to: if the acquired digital signal is a real signal, convert it into a complex signal, and then extract the real data and the imaginary data therefrom; if the acquired digital signal is a complex signal, directly extract the real data and the imaginary data therefrom; The amplitude calculation module is configured to: calculate the amplitude value of each point of the digital signal according to the real data and the imaginary data, and calculate the adaptive threshold according to the amplitude value; The amplitude comparison module is configured to: perform the following operations based on the number of points of the digital signal: traverse all points, compare the amplitude value of each point with the corresponding adaptive threshold, and set the amplitude value that does not exceed the adaptive threshold to 0; The search module is configured to: search for consecutive CalNum amplitude values ​​greater than 0, if CalNum is greater than dl, dl is a preset minimum number of processing points, measure the pulse parameters of the points corresponding to the first dl consecutive amplitude values ​​greater than 0, and obtain the corresponding pulse description word; The determination module is configured as follows: after the measurement is completed, if the number of remaining points is greater than dl, CalNum is set to 0 and the search step is returned to; The sorting module is configured as follows: if the number of remaining points is not greater than dl after the measurement is completed, the digital signal is clustered and sorted according to the pulse description word to obtain a standby signal, and then the pulse corresponding to the standby signal is deleted, and this step is repeated until the number of remaining pulse description words is less than a preset value, and all standby signals are integrated into an output signal.

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