阅读说明：本技术 基于stft预分选的pri变换雷达信号分选方法 (PRI (pulse repetition index) conversion radar signal sorting method based on STFT (space time Fourier transform) pre-sorting ) 是由 王海军 徐忠富 李志鹏 李金梁 贺正求 刘一兵 于 2020-05-18 设计创作，主要内容包括：本发明属于雷达侦察技术领域,公开的一种基于STFT预分选和PRI变换的雷达信号分选方法,是基于STFT方法对高密度雷达脉冲流进行预处理,得到每个脉冲的脉内特征信息,根据脉内特征将脉冲流分为四种类型的信号,然后采用PRI变换法对每类信号进行信号分选,再对包含多种脉内调制类型、多种PRI调制方式的高密度脉冲流实现有效的分选,本发明适用于常规脉冲、频率调制、相位调制、复合调制等多种脉内调制类型,适用于PRI滑变、抖动等多种PRI调制方式,需要信号数据量少,分选效率高；克服了传统PRI变换法处理后真实的PRI值淹没在谐波中,无法提取到各类信号的PRI值,在多种PRI调制类型信号混合情况的分选失效问题。(The invention belongs to the technical field of radar reconnaissance, and discloses a radar signal sorting method based on STFT pre-sorting and PRI conversion, which is characterized in that a high-density radar pulse stream is pre-processed based on an STFT method to obtain intra-pulse characteristic information of each pulse, the pulse stream is divided into four types of signals according to intra-pulse characteristics, then each type of signal is sorted by adopting a PRI conversion method, and effective sorting is realized on the high-density pulse stream containing multiple intra-pulse modulation types and multiple PRI modulation modes; the method solves the problems that the real PRI value processed by the traditional PRI conversion method is submerged in harmonic waves, the PRI values of various signals cannot be extracted, and the sorting of the signals of various PRI modulation types is invalid.)

1. A radar signal sorting method based on STFT pre-sorting and PRI transformation is characterized by comprising the following steps: preprocessing a high-density radar pulse stream based on an STFT method to obtain intra-pulse characteristic information of each pulse, dividing the pulse stream into four types of signals according to the intra-pulse characteristics, and then sorting the signals of each type by adopting a PRI conversion method, so that the high-density pulse stream containing multiple intra-pulse modulation types and multiple PRI modulation modes can be effectively sorted, and the method comprises the following steps:

the method comprises the following steps: preprocessing a high-density radar pulse stream based on an STFT method; the radar intra-pulse characteristics are called fingerprint characteristics of radar signals and comprise phase modulation, frequency modulation, amplitude modulation and mixed modulation of three modulation combinations; short-time Fourier transform (STFT) is to window a received signal, the time width of the window is generally narrow, and then Fourier transform is carried out on the signal in the window to obtain the frequency spectrum information of the signal; setting a step-by-step window position to move step by step to obtain a new signal in the window, performing Fourier transform again, and performing Fourier transform in sequence until the window completely covers signal data to be processed, namely completing one-time short-time Fourier transform; setting window length and sliding step length, carrying out STFT processing on the pulse stream received by detection, quickly obtaining the intra-pulse modulation characteristics, and calculating to obtain the instantaneous frequency standard deviation of the section of signal as the test statistic of signal classification;

step two: determining a test statistic threshold value, and dividing pulse streams into four types; selecting the instantaneous frequency standard deviation of the signals as classified test statistic, determining four threshold values of the test statistic according to the prior information of the instantaneous frequency standard deviation of various types of signals and the pulse signal instantaneous frequency standard deviation obtained by STFT processing, classifying the pulses after the STFT processing according to the four threshold values, and performing pre-sorting on the high-density pulse streams by dividing the pulses into four classes of conventional pulses, frequency modulation, phase modulation and other types;

step three: sorting each type of signal by adopting a PRI conversion method; pulse repetition interval estimation based on PRI transformation completely suppresses sub-harmonics appearing in the autocorrelation function; the method comprises the steps of carrying out PRI transformation on overlapped radar pulse sequences to form a PRI spectrogram, carrying out sequence search according to a PRI value when the PRI value of a certain radar contained in the overlapped pulse sequences is the pulse interval corresponding to a peak value exceeding a threshold;

the PRI conversion method has good detection effect on fixed repetition frequency, staggered repetition frequency and jittered repetition frequency; sorting the four types of signals by adopting a PRI conversion method, calculating the PRI value of the signals, and realizing effective sorting of the four types of signals;

step four: integrating the sorting results of each type of signal to obtain the sorting result of the whole intercepted pulse stream signal; the sorting results of the four types of signals, namely the PRI values obtained by processing are integrated to obtain the sorting result of the whole pulse stream signal, and the effective sorting of the intercepted pulses is realized based on the PRI conversion signal processing method of STFT pre-sorting.

Technical Field

The invention belongs to the technical field of radar reconnaissance, and provides a radar signal sorting method based on STFT pre-sorting and pulse repetition Period (PRI) transformation by adopting a method of combining short-time Fourier transformation (STFT) and pulse repetition Period (PRI) transformation, which is mainly used for effectively sorting a received radar signal pulse stream in radar reconnaissance.

Background

Electronic reconnaissance is an important component of modern war, is an important means for obtaining electronic information, and is a precondition for electronic countermeasures. Because electronic signals such as radar are widely used on various weapon platforms, radar countermeasure has been dominant in electronic warfare for a long time. Radar countermeasures generally include radar reconnaissance, radar interference and radar attack, wherein radar reconnaissance is the basis of radar interference and radar attack and mainly aims at intercepting, sorting, identifying and positioning enemy radar radiation sources. Sorting is to separate signals of each radar part from a densely overlapped signal pulse stream and select useful signals, and is a precondition and a basis for identification.

The traditional radar signal sorting and identifying method is mainly based on a characteristic vector formed by parameters such as pulse repetition Period (PRI), signal carrier frequency (RF), Pulse Width (PW), Pulse Amplitude (PA), arrival Time (TOA) and arrival angle (DOA), and is a kind of methods which are used in active electronic reconnaissance systems. The method is effective when the signal pulse density is not high and the signal pattern is a conventional radar radiation source signal. With the increasing density of signal density and diversification of signal patterns in electromagnetic environment, the conventional parameters among pulses have serious spatial overlapping, complex distribution form and fuzzy class boundaries, so that the method has limited sorting and identifying capability and low reliability. Under the condition that various complex system radars coexist, intra-pulse analysis is an effective way which is expected to improve the signal sorting and identifying performance. The intra-pulse analysis of the radar signal mainly comprises the following steps: the method can automatically identify the modulation mode of the enemy radar signal, accurately estimate the modulation parameters (carrier frequency, pulse width, arrival time, modulation slope, code rate, code element sequence and the like) and instantaneous frequency and the like. Due to the continuous development of the hardware technology of the receiver, people can deeply research the characteristics in the radar signal pulse.

The sorting technique based on single parameter is usually based on the arrival angle of the space domain and the carrier frequency of the frequency domain to perform dilution pre-processing, that is, pre-sorting (in the process of actually detecting signals, an operator usually selects the space domain range and the frequency domain range to achieve the purpose of eliminating useless signals, the process is signal pre-sorting), and then main sorting, that is, final sorting is performed based on the PRI of the time domain, which is the most widely applied sorting technique at present and is called as a single parameter sorting algorithm based on the PRI. The sorting technology based on multiple parameters combines the PRI and the intra-pulse modulation characteristics to form multiple parameters, and then synchronously completes sorting based on a classifier. Multi-parameter based sorting and identification techniques are currently the focus of research. The number of radiation sources in a modern electronic warfare environment is large, the signal flow density reaches millions to ten million pulses per second, the number of radiation sources in actual sorting is large, a single-parameter-based PRI sorting method is basically invalid, but because the intra-pulse modulation characteristics of radar signals are stable, the radar signals cannot change in a short time, and if the intra-pulse modulation characteristics of the radar signals are extracted as auxiliary parameters for PRI sorting, multi-parameter PRI sorting is performed, an ideal sorting effect can be achieved. The method for extracting the intra-pulse modulation characteristics of the signals for sorting is an effective means for effectively solving the problems of multiple radiation source signals, particularly the problems of variable, fast and mutually overlapped conventional parameters.

Short-time Fourier transform (STFT) is a common intra-pulse characteristic parameter extraction method, the STFT overcomes the defects of the traditional Fourier transform, a section of signal is intercepted by windowing the signal, Fourier transform is carried out, and a group of STFTs can be obtained by moving the window. The method reflects the frequency change rule roughly along with time, is linear transformation, has simple operation and no multi-signal intermodulation, and is widely applied to radar signal processing.

The invention provides a multi-parameter PRI radar signal sorting algorithm based on STFT, which is characterized in that the STFT is used for rapidly processing radar signals to obtain approximate time-frequency characteristics, pre-sorting of the signals is completed, high-density pulse streams are preliminarily divided into several types, and then PRI sorting is respectively carried out on the several types of signals. And selecting a PRI transformation algorithm commonly used for signal sorting at present when the PRI is sorted.

Disclosure of Invention

In order to overcome the defects of the existing radar signal sorting method, the invention provides a radar signal sorting method based on STFT pre-sorting and PRI transformation.

In order to achieve the purpose, the invention adopts the following technical scheme:

a radar signal sorting method based on STFT pre-sorting and PRI transformation is to preprocess high-density radar pulse flow based on STFT method to obtain the pulse characteristic information of each pulse, divide the pulse flow into four types of signals according to the pulse characteristic, then use PRI transformation method to sort each type of signal, can realize effective sorting to the high-density pulse flow containing multiple pulse modulation types and multiple PRI modulation modes, and its steps are as follows:

the method comprises the following steps: preprocessing a high-density radar pulse stream based on an STFT method; the radar intra-pulse features are called fingerprint features of radar signals and comprise phase modulation, frequency modulation, amplitude modulation and mixed modulation of three modulation combinations. Short-time Fourier transform (STFT) is to window a received signal, the time width of the window is generally narrow, and then Fourier transform is carried out on the signal in the window to obtain the frequency spectrum information of the signal; and setting the position of the window to move step by step to obtain a new signal in the window, performing Fourier transform again, and performing Fourier transform in sequence until the window completely covers signal data to be processed, namely completing one-time short-time Fourier transform. Setting window length and sliding step length, carrying out STFT processing on the pulse stream received by detection, quickly obtaining the intra-pulse modulation characteristics, and calculating to obtain the instantaneous frequency standard deviation of the section of signal as the test statistic of signal classification;

step two: determining a test statistic threshold value, and dividing pulse streams into four types; selecting the instantaneous frequency standard deviation of the signals as classified test statistic, determining four threshold values of the test statistic according to the prior information of the instantaneous frequency standard deviation of various types of signals and the pulse signal instantaneous frequency standard deviation obtained by STFT processing, classifying the pulses after the STFT processing according to the four threshold values, and performing pre-sorting on the high-density pulse streams by dividing the pulses into four classes of conventional pulses, frequency modulation, phase modulation and other types;

step three: sorting each type of signal by adopting a PRI conversion method; pulse repetition interval estimation based on PRI transformation completely suppresses sub-harmonics appearing in the autocorrelation function; the method comprises the steps of carrying out PRI transformation on overlapped radar pulse sequences to form a PRI spectrogram, carrying out sequence search according to a PRI value when the PRI value of a certain radar contained in the overlapped pulse sequences is the pulse interval corresponding to a peak value exceeding a threshold; the PRI conversion method has good detection effect on fixed repetition frequency, staggered repetition frequency and jittered repetition frequency; sorting the four types of signals by adopting a PRI conversion method, calculating the PRI value of the signals, and realizing effective sorting of the four types of signals;

step four: integrating the sorting results of each type of signal to obtain the sorting result of the whole intercepted pulse stream signal; the sorting results of the four types of signals, namely the PRI values obtained by processing are integrated to obtain the sorting result of the whole pulse stream signal, and the effective sorting of the intercepted pulses is realized based on the PRI conversion signal processing method of STFT pre-sorting.

Due to the adoption of the technical scheme, the invention has the following advantages:

the invention provides a radar signal sorting method based on STFT pre-sorting and PRI transformation, which is characterized in that a high-density radar pulse stream is pre-processed based on an STFT method to obtain intra-pulse characteristic information of each pulse, the pulse stream is divided into four types of signals according to the intra-pulse characteristics, then each type of signal is sorted by adopting a PRI transformation method, and then the high-density pulse stream containing multiple intra-pulse modulation types and multiple PRI modulation modes is effectively sorted; the method solves the problems that the real PRI value processed by the traditional PRI conversion method is submerged in harmonic waves, the PRI values of various signals cannot be extracted, and the sorting of the signals of various PRI modulation types is invalid.

Drawings

Fig. 1 is a schematic diagram of an application scenario of a signal sorting method.

FIG. 2 is a schematic diagram of the STFT algorithm.

Fig. 3 is a schematic diagram of a PRI transformation method.

Fig. 4 shows a flow chart of a PRI transform signal sorting method based on STFT pre-sorting.

FIG. 5 is a graph of the test statistic instantaneous frequency standard deviation classification interval.

Fig. 6 is a graph of the sorting results of four types of signals for the PRI transform signal sorting method based on STFT pre-sorting.

Fig. 7 is a comparison graph of the PRI transform signal sorting method and the PRI transform sorting result based on STFT pre-sorting.

Detailed Description

The invention is further described below with reference to the accompanying drawings.

As shown in fig. 1 to 7, a radar signal sorting method based on STFT pre-sorting and PRI conversion preprocesses a high-density radar pulse stream based on an STFT method to obtain intra-pulse characteristic information of each pulse, divides the pulse stream into four types of signals according to the intra-pulse characteristics, and then sorts each type of signals by a PRI conversion method, so that efficient sorting of the high-density pulse stream including a plurality of intra-pulse modulation types and a plurality of PRI modulation methods can be realized, and the method comprises the following steps:

the method comprises the following steps: preprocessing a high-density radar pulse stream based on an STFT method;

the radar intra-pulse features are called fingerprint features of radar signals and comprise phase modulation, frequency modulation, amplitude modulation and mixed modulation of three modulation combinations. Short-time fourier transform (STFT), which is a process of windowing a received signal, the window is generally narrow in time width, and then fourier transforming the signal in the window to obtain the spectrum information. And setting a certain step to gradually move the window position to obtain a new signal in the window, performing Fourier transform again, and sequentially performing Fourier transform until the window completely covers signal data to be processed, namely completing one short-time Fourier transform. And setting a certain window length and a certain sliding step length, carrying out STFT processing on the pulse stream received by detection, quickly obtaining the intra-pulse modulation characteristics, and calculating to obtain the instantaneous frequency standard deviation of the section of signal as the test statistic of signal classification.

Step two: determining a test statistic threshold value, and dividing pulse streams into four types;

the method comprises the steps of selecting the instantaneous frequency standard deviation of signals as classified test statistic, determining four threshold values of the test statistic according to prior information of the instantaneous frequency standard deviation of various types of signals and the pulse signal instantaneous frequency standard deviation obtained by STFT processing, classifying the pulses after the STFT processing according to the four threshold values, and performing pre-sorting on high-density pulse streams by dividing the pulses into four types including a conventional pulse type, a frequency modulation type, a phase modulation type and other types.

Step three: sorting each type of signal by adopting a PRI conversion method;

pulse repetition interval estimation based on PRI transformation almost completely suppresses sub-harmonics appearing in the autocorrelation function. The method carries out PRI transformation on overlapped radar pulse sequences to form a PRI spectrogram, a pulse interval corresponding to a peak value exceeding a threshold is possibly a PRI value of a certain radar contained in the overlapped pulse sequences, and then sequence searching is carried out according to the PRI value. The PRI transform algorithm has good detection effect on fixed repetition frequency, staggered repetition frequency and jittered repetition frequency. And sorting the four types of signals by adopting a PRI conversion method, and calculating the PRI value of the signals to realize effective sorting of the four types of signals.

Step four: integrating the sorting results of each type of signal to obtain the sorting result of the whole intercepted pulse stream signal;

the sorting results of the four types of signals, namely the PRI values obtained by processing are integrated to obtain the sorting result of the whole pulse stream signal, and the effective sorting of the intercepted pulses can be realized based on the PRI conversion signal processing method of STFT pre-sorting.

The PRI conversion signal sorting method based on STFT pre-sorting is to pre-process high density radar pulse stream based on STFT method to obtain the pulse characteristic information of each pulse, to divide the pulse stream into four types of signals based on the pulse characteristic, to sort each type of signal by PRI conversion method, to realize effective sorting for high density pulse stream containing multiple pulse modulation types and multiple PRI modulation modes.

Fig. 1 is a schematic diagram of an application scenario of a signal sorting method. Electronic reconnaissance is an important component of modern war, is an important means for obtaining electronic information, and is a precondition for electronic countermeasures. Because electronic signals such as radar are widely used on various weapon platforms, radar countermeasure has been dominant in electronic warfare for a long time. The radar reconnaissance is the basis of radar interference and radar attack, and mainly intercepts, sorts, identifies and positions the radar radiation source of an enemy. Sorting is to separate signals of each radar part from a densely overlapped signal pulse stream and select useful signals, and is a precondition and a basis for identification. The radar reconnaissance equipment in the figure simultaneously reconnaissance a plurality of radar signals of different systems, and an efficient signal sorting method needs to be adopted to realize effective sorting of high-density pulse streams.

FIG. 2 is a schematic diagram of the STFT algorithm. The traditional radar reconnaissance mode is to directly perform Fast Fourier Transform (FFT) on a received signal, and the processing mode can cause the loss of time domain information of the signal and only reserve frequency domain information, and the characteristic of the FFT is extremely unfavorable for time-frequency analysis of the signal. To solve this problem, researchers have proposed a Short Time Fourier Transform (STFT) method, in which a received signal is windowed, the window is generally narrow in time width, and then fourier-transformed to obtain spectral information of the signal in the window. And setting a certain step to gradually move the window position to obtain a new signal in the window, performing Fourier transform again, and sequentially performing Fourier transform until the window covers all received signals, namely completing one short-time Fourier transform.

The STFT transformation process expression is:

wherein s (t) is a received signal, and w (t) is a window signal.

Different window functions, which bring about differences in STFT performance, must be selected according to the shape and characteristics of s (t) and the detection requirements. The window sliding step length has an influence on the time domain precision, the data operand, the signal parameter estimation precision and the like of the STFT method. According to the time-frequency resolution and the calculated amount required by measurement, a proper sliding step length is necessarily selected.

Fig. 3 is a schematic diagram of a PRI transformation method. There are many algorithms for estimating the repetition interval of a pulse using the time of arrival (TOA) of the pulse, such as sequence search, CDIF, SDIF. These algorithms are based on calculating the autocorrelation function of the received pulse sequence, and since the autocorrelation function of the periodic signal is still a periodic function, the algorithm is prone to the phenomenon that the PRI of the signal and its integer multiple (called sub-harmonics) exist simultaneously. Pulse repetition interval estimation based on PRI transformation almost completely suppresses sub-harmonics appearing in the autocorrelation function. The method carries out PRI transformation on overlapped radar pulse sequences to form a PRI spectrogram, a pulse interval corresponding to a peak value exceeding a threshold is possibly a PRI value of a certain radar contained in the overlapped pulse sequences, and then sequence searching is carried out according to the PRI value. The PRI transform algorithm has good detection effect on fixed repetition frequency, staggered repetition frequency and jittered repetition frequency.

The PRI transformation algorithm introduces an exponential factor exp (2 π jt/τ) to obtain:

where τ > 0, | D (τ) | gives a PRI spectrum, a peak will appear at the true PRI value, and the discretization is:

in which m, N ∈ (0, 1, …, N-1) and m < N, a phase factor exp [2 π jt ] is introduced due to the PRI transformation_n/(t_n-t_m)]Thereby finishingSub-harmonics are fully suppressed.

According to the selected range of investigation Pri_min、Pri_maxThe region is divided into K PRI bins. The size of PRI box is given by b ═ PRI_max-Pri_min) K determination, corresponding spectral values being superimposed in the same PRI box, τ_k＝Pri_min+ (k-1/2) × b is the center of the kth PRI Box, found to satisfy the study Range [ Pri_min，Pri_max]The spectral value of the kth PRI bin can be calculated using the following equation.

All samples were calculated by the above formula to form PRI spectra.

Fig. 4 shows a flow chart of a PRI transform signal sorting method based on STFT pre-sorting. The radar intra-pulse features are called fingerprint features of radar signals and comprise phase modulation, frequency modulation, amplitude modulation and mixed modulation of three modulation combinations. The PRI conversion signal sorting method based on STFT pre-sorting is that the received pulse signal is subjected to STFT processing to quickly obtain the intra-pulse modulation characteristics of the pulse signal, the pulse stream is divided according to the intra-pulse modulation characteristics to play a role in diluting the density of the pulse stream, and then the PRI conversion algorithm is adopted in each type of pulse stream to realize effective sorting of radar signals.

In the PRI conversion signal sorting method based on STFT pre-sorting, a high-density pulse stream is divided into four types through rapid STFT processing, the four types are respectively a conventional pulse type, a frequency modulation type, a phase modulation type and other types, the high-density signal is pre-sorted and shunted, then the PRI conversion method is used for carrying out main sorting on the signals of all types, and finally the sorting results of the four types of signals are collected and sorted to obtain the final sorting result of the signals.

Fig. 5 is a schematic diagram of the classification interval of the standard deviation of the instantaneous frequency. According to the time-frequency diagram characteristics among various types of signals, the standard deviation of the instantaneous frequency of the signals is used as the test statistic:

where f (i), i is 1, 2, and … N is the instantaneous frequency obtained after STFT processing of the ith sampling signal, and N is the number of sampling points. Determining a test statistic classification interval based on σ_fThe pulse streams are classified at the positions of the intervals.

A decision formula for classification by the test statistic can be obtained according to the classification interval:

in the formula, σ_c、σ_x、σ_q、σ_pThe threshold value for classification judgment is determined according to the signal characteristics to be detected and the past practical experience.

Fig. 6 is a four-class signal simulation sorting result of the PRI transform signal sorting method based on STFT pre-sorting. In the simulation, four common radar pulse signals, namely a conventional pulse signal, a linear frequency modulation signal, a two-phase coding signal and an FSK/PSK composite signal are adopted, and mathematical expressions of the four signals are respectively shown as the following formula.

In the formula, A₁、f₁、

T₁Respectively, the amplitude, the carrier frequency, the initial phase and the pulse width of the conventional pulse signal; a. the₂、f₂、k₂、T₂Respectively, the amplitude, initial frequency, frequency modulation slope, initial phase and pulse width of the linear frequency modulation signal; a. the₃、N₃、f₃、T_PRespectively, the amplitude, the number of symbols, the carrier frequency, and the symbol width of the two-phase encoded signal,

two phase values in two-phase encoding; in FSK/PSK composite signal expression, N_BIs the pseudo code sequence number of bits, N_FFor the number of bits of the frequency hopping sequence, b_k{ +1, -1} is a binary pseudo-code sequence, T_BFor a symbol width, the frequency hopping period T_F＝N_B·T_B，f_i＝c_iΔ f is the frequency of the hopping, c_iFor the frequency hopping sequence, Δ f is the frequency multiplication component,in order to be a function of the sub-pulses,is the initial phase.

The intra-pulse modulation mode and the PRI modulation mode used by the four signals are different, and the current mainstream signal sorting method can perform pre-sorting according to the arrival angle and the carrier frequency, so that the arrival angle and the carrier frequency of the four signals are similar. The parameter settings for the four signals are shown in the table below.

The four threshold values are respectively set as:

each signal pulse stream in the simulation comprises 3 periods of pulse signals, the window function adopts a rectangular window, and the step overlapping rate is 50%. The sorting result of the conventional pulse signal PRI is consistent with the set value and is 20 ms; the two-phase coded signal and the linear frequency modulation signal PRI sorting result is consistent with the set value and is the frame period; the sorting result of the FSK/PSK signal PRI is that the maximum jitter ratio is (18-16)/16 × 100%: 12.5% with 16ms as the reference cycle, and there is a slight deviation from the setting parameters because the number of cycles processed is only 3, and the repetition jitter signal is complicated and the sorting difficulty is large. The sorting result is compared with the simulation setting parameters, the method can effectively sort the pulse stream consisting of various types of signals with various intra-pulse modulation modes and various PRI modulation modes, the sorting efficiency is high, and the PRI value can be obtained by processing in 3 signal periods.

Fig. 7 is a comparison graph of the PRI transform signal sorting method and the PRI transform sorting result based on STFT pre-sorting. The two groups of sorting results in the figure are obtained according to the same group of simulation data, and the processed data quantity is the same. It can be seen from the figure that the method of the invention can classify the pulse stream according to the intra-pulse characteristics, and after respective processing, the accurate PRI values of various signals can be basically obtained, the method is suitable for various intra-pulse modulation types such as conventional pulse, frequency modulation, phase modulation, composite modulation and the like, and is suitable for various PRI modulation modes such as PRI fixation, PRI dispersion, PRI sliding, PRI jitter and the like, and the required signal data volume is small, and the separation efficiency is high; after the traditional PRI conversion method is used for processing, the real PRI value is submerged in harmonic waves, the PRI values of various signals cannot be extracted, and the PRI conversion method fails in sorting under the condition that various PRI modulation type signals are mixed.