A main lobe pulse extraction method and system based on pulse width consistency

Abstract

The application discloses a main lobe pulse extraction method and system based on pulse width consistency, wherein the method comprises the following steps: firstly, extracting the pulse width value according to the arrival time of the input pulse; secondly, extracting the number of continuous pulse width pulses in a sliding time window; thirdly, obtaining the sum of the number of continuous pulse width pulses in the sliding time window with different pulse starting points; and finally, extracting the pulse in the sliding time window with the peak value of the number of continuous pulse width pulses as the main lobe pulse. The application utilizes the characteristics that the main lobe signal pulse width is split less and the radiation source pulse width changes in groups, proposes to use the number of grouped pulse width pulses to describe the consistency of the pulse width, and extracts the signal main lobe through the method of extracting the peak value of the number of grouped pulse width pulses, so that the problem of inaccurate main lobe pulse extraction caused by the uncertainty of amplitude change is overcome, and the signal processing capacity of the system is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of radar signal processing, and in particular to a main lobe pulse extraction method and system based on pulse width consistency. BACKGROUND

[0002] The signal amplitude is a reflection of the signal power strength. Due to the influence of the antenna pattern of the radiation source, the distance of the target, and the dynamic range of the system, the signal amplitude measurement value often presents nonlinearity or even uncertainty. The traditional method of extracting the main lobe pulse of the signal mainly depends on the periodicity of the amplitude change, for example:

[0003] Invention patent application CN202010184649.4 discloses a radar antenna scanning period measurement method, device, equipment and storage medium. The amplitude of the received radar signal is calculated to obtain the amplitude value of the radar signal. According to the amplitude value of the radar signal, a detection threshold value is determined. According to the detection threshold value, the noise signal with an amplitude value less than the detection threshold value in the radar signal is removed. According to the radar signal after removing the noise signal, the radar antenna scanning period is measured. The detection threshold value is determined according to the amplitude value, and the detection noise signal is removed to measure the radar antenna scanning period.

[0004] Invention patent application 202310313804.6 discloses a radar antenna scanning period measurement method, device, equipment and storage medium. The radar antenna scanning data is normalized to obtain a pulse amplitude data sequence. The pulse amplitude data sequence is resampled to obtain an initial resampled data sequence. The initial resampled data sequence is filled and fitted by using a difference algorithm to obtain a target resampled data sequence. The target resampled data sequence is mined and extracted to obtain a preset signal description feature parameter, and the signal is reconstructed according to the preset signal description feature parameter to obtain reconstructed radar antenna scanning data. According to the reconstructed radar antenna scanning data, an initial measurement value of the radar antenna scanning period is obtained. The initial measurement value of the radar antenna scanning period is corrected by using an energy gravity correction algorithm to obtain a target measurement value of the radar antenna scanning period.

[0005] The above two methods both use the periodic change characteristics of the signal amplitude to extract the main lobe of the signal pulse, but the periodicity of the amplitude change of the new system radar is becoming less and less obvious, which makes the accuracy of the traditional method for extracting the main lobe pulse lower and lower. It is urgent to develop a main lobe pulse extraction method based on non-amplitude characteristics to improve the accuracy of the main lobe pulse and improve the signal processing capability of the system. SUMMARY

[0006] To address the aforementioned issues, this invention proposes a main lobe pulse extraction method and system based on pulse width consistency. Utilizing the characteristic that main lobe signals have fewer pulse width splits compared to side lobe signals, and that pulse width remains constant within radar scanning positions, the method proposes using the statistical count of grouped pulse widths to describe pulse width consistency. First, pulses are sorted according to their arrival time. Then, pulses within a sliding time window are grouped based on pulse width consistency and continuity, and the number of pulses satisfying the grouping conditions is counted. Finally, the pulse within the time window representing the peak value of consecutive pulse widths is extracted as the main lobe pulse.

[0007] The technical solution adopted in this invention is as follows:

[0008] On one hand, this invention proposes a main lobe pulse extraction method based on pulse width consistency, comprising:

[0009] Extract the pulse width value from the input pulse based on its arrival time;

[0010] Extract the number of consecutive pulse widths within the sliding time window;

[0011] Obtain the sum of the number of consecutive pulse widths within a sliding time window with different pulse start points;

[0012] The pulses within the sliding time window of the peak number of consecutive pulse widths are extracted as the main lobe pulses.

[0013] Further, the step of extracting the pulse width value from the input pulse according to its arrival time includes:

[0014] Let the input pulse set be PdwDataSet, and we have:

[0015] PdwDataSet={rf i ,toa i ,τ i ,pa i}

[0016] Among them, rf i toa i τ i and pa i These are the pulse frequency, arrival time, pulse width, and amplitude, respectively.

[0017] Pulse width PWSet is extracted according to arrival time from smallest to largest:

[0018] PWSet = {pw1, pw2, ..., pw} N}

[0019] Where i = 1, 2, ... N, and N is the number of pulses.

[0020] Further, the extraction of the number of consecutive pulse widths within the sliding time window includes:

[0021] with the first pulse arrival time as the starting point, and a time window T win acquiring a pulse; acquiring the pulse width of the pulse in sequence, judging the input pulse width pw 1_j and the kth group of pulse width values pw grp_1_k whether less than a threshold value Threshold pw If the conditions are met and the input pulse width pulse number and the library pulse width pulse number meet the adjacent condition, then the pulse width continuous number ConPlsNum pw_1_k is added by 1, otherwise a new pulse width grouping is created, until all pulse width continuous numbers ConPlsNum pw_1_k The sum of the continuous pulse numbers of each group of pulse widths is obtained to obtain the grouped pulse width continuous pulse number SumConPlsNum1:

[0022]

[0023] Wherein, k = 1, 2, …, M, M is the number of pulse width grouping.

[0024] Further, the sum of the continuous pulse width pulse numbers in the sliding time window with different pulse starting points comprises:

[0025] with the i th pulse arrival time as the starting point, and a time window T win acquiring a pulse, extracting the grouped pulse width pulse number SumConPlsNum win in the time window T i :

[0026]

[0027] Wherein, i = 1, 2, …, N, N is the number of pulses; k = 1, 2, …, M, M is the number of pulse width grouping.

[0028] Further, the sliding time window pulse with the peak value of the continuous pulse width pulse number is extracted as the main lobe pulse, comprising:

[0029] extracting the maximum value SumConPlsNum max of the continuous pulse width pulse number Max , then the starting point is the idx Max th pulse and the pulse in the time window T win is the main lobe pulse, and has:

[0030] SumConPlsNum max = max(SumConPlsNum i )

[0031] Wherein, i = 1, 2, …, N, N is the number of pulses.

[0032] On the other hand, this invention proposes a main lobe pulse extraction system based on pulse width consistency, comprising:

[0033] The pulse width extraction module is configured to extract the pulse width value of the input pulse according to its arrival time;

[0034] The continuous pulse width pulse count extraction module is configured to extract the number of continuous pulse width pulses within a sliding time window;

[0035] The continuous pulse width total count calculation module is configured to obtain the sum of the number of continuous pulse width pulses within a sliding time window with different pulse start points;

[0036] The main lobe pulse extraction module is configured to extract the pulses within a sliding time window of the peak value of the continuous pulse width pulses as the main lobe pulses.

[0037] Furthermore, in the pulse width extraction module, the input pulse set is denoted as PdwDataSet, and the following holds:

[0038] PdwDataSet={rf i ,toa i ,τ i ,pa i}

[0039] Among them, rf i toa i τ i and pa i These are the pulse frequency, arrival time, pulse width, and amplitude, respectively.

[0040] Pulse widths (PWSet) are extracted according to arrival time from smallest to largest:

[0041] PWSet = {pw1, pw2, ..., pw} N}

[0042] Where i = 1, 2, ... N, and N is the number of pulses.

[0043] Furthermore, in the continuous pulse width pulse count extraction module, the arrival time of the first pulse is taken as the starting point, and the time window T is used as the starting point. win Acquire pulses; sequentially acquire the pulse widths of the pulses, and determine the input pulse width pw. 1_j With the kth group pulse width value pw grp_1_k Is it less than the threshold? pw If the condition that the input pulse width pulse number and the library pulse width pulse number are adjacent is met, then the number of consecutive pulse widths ConPlsNum will be set. pw_1_k Increment the count by 1; otherwise, create a new pulse width group. Continue until all consecutive pulse width counts (ConPlsNum) are obtained. pw_1_kSumConPlsNum1 = SumConPlsNum1 + SumConPlsNum2 + … + SumConPlsNumM

[0044]

[0045] Wherein, k = 1, 2, …, M, M is the pulse width grouping number.

[0046] Further, in the continuous pulse width pulse total number calculation module, the i th pulse arrival time is the starting point, and the pulse in the time window T win Obtain the pulse, extract the group pulse width pulse number SumConPlsNum corresponding to the pulse in the time window T win i :

[0047]

[0048] Wherein, i = 1, 2, …, N, N is the pulse number; k = 1, 2, …, M, M is the pulse width grouping number.

[0049] Further, in the main lobe pulse extraction module, the maximum value SumConPlsNum of continuous pulse width pulse number is extracted max The corresponding serial number idx Max , then the starting point is the idx Max Pulse and the pulse in the time window T win Is the main lobe pulse, and has:

[0050] SumConPlsNum max = max (SumConPlsNum i )

[0051] Wherein, i = 1, 2, …, N, N is the pulse number.

[0052] The beneficial effects of the present application are:

[0053] The present application utilizes the characteristics that the main lobe signal pulse width is less split and the radiation source pulse width is grouped, proposes to use the statistical grouped pulse width pulse number to describe the consistency of pulse width, and extracts the signal main lobe by extracting the peak value of grouped pulse width pulse number, overcomes the problem of inaccurate main lobe pulse extraction caused by the uncertainty of amplitude change, and improves the signal processing capacity of the system. BRIEF DESCRIPTION OF DRAWINGS

[0054] Figure 1 It is the main lobe pulse extraction method flow chart based on pulse width consistency of the present application.

[0055] Figure 2 It is the flow chart of extracting the sum of continuous pulse width pulse numbers in the sliding window. ​

[0056] Figure 3 is a main lobe pulse extraction schematic diagram.

[0057] Figure 4 is a main lobe pulse extraction schematic diagram. DETAILED DESCRIPTION

[0058] In order to make the technical features, objectives and effects of the present application clearer, the specific embodiments of the present application will be described. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application, that is, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0059] Embodiment 1

[0060] The amplitude variation periodicity of the new system radar is not obvious, which will make the accuracy of extracting the main lobe pulse by the amplitude lower. Since the radar sidelobe signal power fluctuates at the receiver detection threshold, this makes the pulse width measurement of the sidelobe signal often appear different degrees of cracking, and the main lobe signal of the radar has a significant increase in power compared with the sidelobe signal, and the accuracy of the pulse width measurement will also be significantly improved compared with the sidelobe. The radar scanning is completed in different wave positions, and the pulse width may change between different wave positions, but the pulse width generally does not change in the same wave position.

[0061] As shown in Figure 1 , the embodiment provides a main lobe pulse extraction method based on pulse width consistency. First, the pulse width value is extracted according to the arrival time of the input pulse, then the number of continuous pulse width pulses in the sliding time window is extracted, the sum of the number of continuous pulse width pulses in the sliding time window of different pulse start points is obtained, and finally the pulse in the sliding time window of the peak value of the number of continuous pulse width pulses is extracted as the main lobe pulse.

[0062] Preferably, the main lobe pulse extraction method of the embodiment can be implemented by the following steps:

[0063] Step 1: Extract the pulse width value according to the arrival time of the input pulse.

[0064] Let the input pulse set be PdwDataSet, and have:

[0065] PdwDataSet={rf i ,toa i ,τ i ,pa i}

[0066] Wherein, rf i , toa i , τi and pa i These are the pulse frequency, arrival time, pulse width, and amplitude, respectively.

[0067] Pulse width PWSet is extracted according to arrival time from smallest to largest:

[0068] PWSet = {pw1, pw2, ..., pw} N}

[0069] Where i = 1, 2, ... N, and N is the number of pulses.

[0070] Step 2: Extract the number of consecutive pulse widths within the sliding time window.

[0071] Starting from the arrival time of the first pulse, with time window T win Acquire the pulse. Preferably, the time window T win The value corresponds to the pulse duration corresponding to the main lobe width of the radar signal, and is generally taken as 200ms.

[0072] like Figure 2 As shown, the pulse widths are obtained sequentially, and the input pulse width pw is determined. 1_j With the kth group pulse width value pw grp_1_k Is it less than the threshold? pw If the condition that the input pulse width pulse number and the library pulse width pulse number are adjacent is met, then the number of consecutive pulse widths ConPlsNum will be set. pw_1_k Increment the count by 1; otherwise, create a new pulse width group. Continue until all consecutive pulse width counts (ConPlsNum) are obtained. pw_1_k The sum of the number of consecutive pulses in each pulse width group yields the total number of consecutive pulses in the group, SumConPlsNum1.

[0073]

[0074] Where k = 1, 2, ..., M, and M is the number of pulse width groups.

[0075] Step 3: Obtain the sum of the number of consecutive pulse widths within the sliding time window at different pulse start points.

[0076] Starting from the arrival time of the i-th pulse, and with time window T win Acquire pulses and extract time window T win The number of grouped pulse width pulses corresponding to the inner pulse (SumConPlsNum) i :

[0077]

[0078] Where i = 1, 2, ..., N, N is the number of pulses; k = 1, 2, ..., M, M is the number of pulse width groups.

[0079] Step 4: Extract the pulse within the sliding time window of the peak value of the continuous pulse width pulse as the main lobe pulse.

[0080] like Figure 3 As shown, the maximum number of consecutive pulse widths, SumConPlsNum, is extracted. max The corresponding serial number idx Max The starting point is the idx-th node. Max One pulse and a time window of T win The pulse within is the main lobe pulse, and it has the following characteristics:

[0081] SumConPlsNum max =max(SumConPlsNum i )

[0082] Where i = 1, 2, ..., N, and N is the number of pulses.

[0083] Specifically, in this embodiment, the pulse width and amplitude of the simulated signal are set as follows: Figure 4 As shown in Table 1, the simulation signal parameters are as follows. The pulse width consistency near the side lobes is worse than that of the main lobe. A pulse width consistency-based main lobe extraction method is used to extract the main lobe of the simulation signal, resulting in the following main lobe: Figure 4 The pulse of the main lobe is basically consistent with that of the simulated signal, which shows that the method can achieve a good main lobe extraction effect on the simulated signal.

[0084] Table 1 - Simulation Signal Parameters

[0085] Frequency (MHz) Duty cycle (us) Pulse width (us) Beam width (°) 2720 / 2800 2200 10 1.5

[0086] In summary, this invention employs pulse width consistency to extract the main lobe of a signal, which overcomes the error problem caused by traditional main lobe extraction based on the periodic variation of amplitude. This enables accurate extraction of the main lobe pulse, thereby improving the system's signal processing capabilities.

[0087] Example 2

[0088] This embodiment provides a main lobe pulse extraction system based on pulse width consistency, including: a pulse width value extraction module configured to extract the pulse width value of the input pulse according to the arrival time; a continuous pulse width pulse count extraction module configured to extract the number of continuous pulse width pulses within a sliding time window; a continuous pulse width pulse total count calculation module configured to obtain the sum of the number of continuous pulse width pulses within a sliding time window with different pulse starting points; and a main lobe pulse extraction module configured to extract the pulse within the sliding time window of the peak value of the continuous pulse width pulse count as the main lobe pulse.

[0089] Preferably, in the pulse width value extraction module, the input pulse set is denoted as PdwDataSet, and has:

[0090] PdwDataSet = {rf i , toa i , τ i , pa i}

[0091] wherein rf i , toa i , τ i and pa i are the frequency, arrival time, pulse width and amplitude of the pulse respectively; the pulse width PWSet is extracted according to the arrival time from small to large:

[0092] PWSet = {pw1, pw2, …, pw N}

[0093] wherein i = 1, 2, … N, and N is the number of pulses.

[0094] Preferably, in the continuous pulse number extraction module, the arrival time of the first pulse is taken as the starting point, and the pulses are obtained within the time window T win ; the pulse width of the pulses is obtained in sequence, and it is judged whether the input pulse width pw 1_j and the kth group of pulse widths pw grp_1_k are less than the threshold value Threshold pw ; if yes, and the input pulse sequence number and the library pulse sequence number satisfy the adjacent condition, the pulse width continuous number ConPlsNum pw_1_k is added by 1, otherwise a new pulse width group is created, until all the pulse width continuous numbers ConPlsNum pw_1_k are obtained, and the continuous pulse numbers of each group of pulse widths are summed to obtain the grouped pulse width continuous pulse number SumConPlsNum1:

[0095]

[0096] wherein k = 1, 2, …, M, and M is the number of pulse width groups.

[0097] Preferably, in the total continuous pulse number calculation module, the arrival time of the ith pulse is taken as the starting point, and the pulses are obtained within the time window T win ; the grouped pulse width pulse number SumConPlsNum win corresponding to the pulses within the time window T i is extracted:

[0098]

[0099] Wherein, i = 1, 2, …, N, N is the number of pulses; k = 1, 2, …, M, M is the number of pulse width grouping.

[0100] Preferably, in the main lobe pulse extraction module, the number of extracted continuous pulse width pulses is the maximum value SumConPlsNum max The corresponding sequence number is idx Max The starting point is the idx Max Pulse and the pulse in the time window T win Is the main lobe pulse, and has:

[0101] SumConPlsNum max = max(SumConPlsNum i )

[0102] Wherein, i = 1, 2, …, N, N is the number of pulses.

[0103] Embodiment 3

[0104] This embodiment is based on embodiment 1:

[0105] This embodiment provides a computer device, comprising a memory and a processor, the memory stores a computer program, and the processor implements the steps of the main lobe pulse extraction method based on pulse width consistency of embodiment 1 when executing the computer program. Wherein, the computer program can be in the form of source code, object code, executable file or some intermediate form, etc.

[0106] Embodiment 4

[0107] This embodiment is based on embodiment 1:

[0108] This embodiment provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the main lobe pulse extraction method based on pulse width consistency of embodiment 1. Wherein, the computer program can be in the form of source code, object code, executable file or some intermediate form, etc. Storage medium includes: any entity or device capable of carrying computer program code, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the storage medium does not include electric carrier signal and telecommunication signal.

[0109] It is apparent that, for the method embodiments described previously, the steps of the methods have been described as being arranged in a particular order. However, it is to be appreciated that this is merely one example, and that the steps of the methods can be arranged in other orders or performed contemporaneously. Furthermore, it is to be appreciated that the embodiments described in the specification are merely preferred embodiments, and that the steps of the methods need not be performed in the order described.

Claims

1. A main-lobe pulse extraction method based on pulse width consistency, characterized in that, Comprise: extracting pulse width values according to arrival time of input pulses; extracting number of continuous pulse width pulses within a sliding time window; acquiring sum of number of continuous pulse width pulses within sliding time windows of different pulse starting points; extracting pulses within sliding time window of peak value of number of continuous pulse width pulses as main lobe pulses; the extracting number of continuous pulse width pulses within a sliding time window, comprising: The first pulse arrival time as the starting point, with a time window T win Acquire pulse; in turn, the pulse width of the pulse is acquired, and the input pulse width is judged pw 1_j The first pulse arrival time as the starting point, with a time window k Group pulse width value pw grp_1_k Whether it is less than the threshold value Threshold pw If the input pulse width pulse sequence number and the library pulse width pulse sequence number meet the adjacent condition, the pulse width continuous number ConPlsNum pw_1_k Add 1, otherwise, a new pulse width grouping is established, until all the pulse width continuous numbers are acquired ConPlsNum pw_1_k The continuous pulse numbers of each group of pulse widths are summed up to obtain the grouped pulse width continuous pulse number SumConPlsNum 1: wherein, k = 1, 2,..., M , M is the number of pulse width groups; the acquiring sum of number of continuous pulse width pulses within sliding time windows of different pulse starting points, comprising: With the first i pulse arrival time as the starting point, a time window T win acquire pulses, extract time window T win number of pulses in the group corresponding to the inner pulse SumConPlsNum i : wherein, i = 1, 2,..., N , N is the number of pulses; k = 1, 2,..., M , M is the number of pulse width groups; the extracting pulses within sliding time window of peak value of number of continuous pulse width pulses as main lobe pulses, comprising: Extracting maximum number of consecutive pulse width pulses SumConPlsNum max Corresponding sequence number idx Max The starting point is the first idx Max Pulse and the time window is T win The main lobe pulse is the pulse within the time window, and has: SumConPlsNum max = max ( SumConPlsNum i ) wherein i = 1, 2,... N , N is the number of pulses.

2. The main-lobe pulse extraction method based on pulse width consistency according to claim 1, characterized in that, the extracting pulse width values according to arrival time of input pulses, comprising: record input pulse set as PdwDataSet, and have: PdwDataSet ={ rf i , toa i , τ i , pa i} wherein rf i , toa i , τ i and pa i are the frequency, arrival time, pulse width and amplitude of the pulse, respectively. extracting the pulse width of the pulses in order of arrival time from small to large PWSet : PWSet ={ pw 1, pw 2,…, pw N} wherein i = 1, 2, … N , N is the number of pulses.

3. A main lobe pulse extraction system based on pulse width consistency, characterized by, comprise: pulse width value extraction module, configured to extract pulse width values according to arrival time of input pulses; continuous pulse width pulse number extraction module, configured to extract number of continuous pulse width pulses within a sliding time window; continuous pulse width pulse total number calculation module, configured to acquire sum of number of continuous pulse width pulses within sliding time windows of different pulse starting points; main lobe pulse extraction module, configured to extract pulses within sliding time window of peak value of number of continuous pulse width pulses as main lobe pulses; The continuous pulse number extraction module takes the arrival time of the first pulse as the starting point and takes the time window T win Acquire pulse; acquire the pulse width of the pulse in turn, judge the input pulse width pw 1_j And the first k Group pulse width value pw grp_1_k Whether it is less than the threshold value Threshold pw If it is satisfied and the input pulse sequence number and the library pulse sequence number satisfy the adjacent condition, the pulse width continuous number ConPlsNum pw_1_k Add 1, otherwise, new pulse width grouping, until all pulse width continuous numbers are acquired ConPlsNum pw_1_k Sum the continuous pulse numbers of each group of pulse widths to obtain the grouped pulse width continuous pulse number SumConPlsNum 1: wherein, k = 1, 2,..., M , M is the number of pulse width groups; The total number of continuous pulse width pulses is calculated by taking the time of arrival of the first pulse as the starting point and taking the time window i T win The pulse is obtained, and the number of pulse width pulses in the group corresponding to the pulse in the time window is extracted T win SumConPlsNum i :​​ wherein, i = 1, 2,..., N , N is the number of pulses; k = 1, 2,..., M , M is the number of pulse width groups; The main lobe pulse extraction module extracts the maximum number of continuous pulse width pulses SumConPlsNum max The corresponding serial number idx Max The starting point is the first idx Max Pulse and the time window is T win The pulse in the time window is the main lobe pulse, and has: SumConPlsNum max = max ( SumConPlsNum i ) wherein i = 1, 2,..., N , N is the number of pulses.

4. The main lobe pulse extraction system based on pulse width consistency according to claim 3, characterized in that, the pulse width value extraction module, record input pulse set as PdwDataSet, and have: PdwDataSet ={ rf i , toa i , τ i , pa i} wherein rf i , toa i , τ i and pa i are the frequency, arrival time, pulse width and amplitude of the pulse, respectively. extracting the pulse width of the pulses in order of arrival time from small to large PWSet : PWSet ={ pw 1, pw 2,…, pw N} wherein i = 1, 2, … N , N is the number of pulses.

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