CN-117289213-B - Method and system for cooperative complementary sorting of passive radar networking signals

CN117289213BCN 117289213 BCN117289213 BCN 117289213BCN-117289213-B

Abstract

The invention discloses a cooperative complementary sorting method and system for passive radar networking signals, wherein the method comprises the steps of performing cooperative complementary on aliased radiation source pulse sequence signals received by a plurality of passive radar stations to obtain complementary pulse sequence signals, and sorting the complementary pulse sequence signals by using a cumulative difference histogram method to separate pulse sequences of different radiation sources. Compared with the existing single-station passive radar signal sorting method, the method well solves the problem of incomplete pulse sequence caused by pulse loss, greatly improves the accuracy of signal sorting, and has better sorting performance especially when the pulse loss is serious.

Inventors

ZHOU YU
SUN DIANJU
ZHANG ZHEHAO
Nan Mengfan
ZHANG LINRANG

Assignees

西安电子科技大学

Dates

Publication Date: 20260505
Application Date: 20230816

Claims (6)

1. A passive radar networking signal cooperative complementary sorting method is characterized by comprising the following steps: The method comprises the steps of carrying out accumulated difference complementation on aliased radiation source pulse sequence signals received by a plurality of passive radar stations to obtain pulse sequence signals after complementation, or carrying out instantaneous cooperative correlation complementation on aliased radiation source pulse sequence signals received by a plurality of passive radar stations to obtain pulse signals after instantaneous cooperative correlation complementation; sorting the complementary pulse sequence signals by using a cumulative difference histogram method to separate pulse sequences of different radiation sources; the method for carrying out accumulated difference complementation on the aliasing radiation source pulse sequence signals received by the passive radar stations to obtain pulse sequence signals after the accumulated difference complementation comprises the following steps: Performing cross-correlation time registration on aliased radiation source pulse signals received from different passive radar stations by adopting a cross-correlation method so as to align different aliased radiation source pulse signals and obtain aligned aliased radiation source pulse signals; performing attribute correlation on the aligned aliased radiation source pulse signals based on likelihood ratio, and determining pulse signals from the same radiation source as pulse signals to be complemented; comparing the measured difference value of the current pulse signal to be complemented with a threshold, and carrying out data level complementation on the pulse signal which is subjected to threshold value at the same moment; the pulse from the same radiation source of each single passive radar station is arranged into a complete pulse sequence after complementation, and a pulse sequence signal after complementation of accumulated differences is obtained; performing instantaneous cooperative correlation complementation on the aliased radiation source pulse sequence signals received by a plurality of passive radar stations to obtain pulse signals after the instantaneous cooperative correlation complementation, wherein the method comprises the following steps of: selecting a receiving signal of a certain passive radar station as a reference signal, and selecting one pulse in the reference signal as a reference pulse; Performing autocorrelation on the reference pulse and other pulses of the reference signal based on a correlation matching method, and performing cross-correlation on the reference pulse and all pulses of signals received by other passive radar stations at the same time to respectively obtain peak pulse positions which are most matched with the reference pulse; And (3) complementing the peak loss caused by the pulse loss at the peak pulse position by adopting a complementary thought to obtain a pulse signal after instantaneous cooperative correlation complementation.
2. The method of claim 1, wherein attribute-correlating the aligned aliased radiation source pulse signals based on likelihood ratios, determining pulse signals from the same radiation source as pulse signals to be complemented, comprises: based on the frequency of the pulse sequence signal and the measured difference, calculating an event Probability of occurrence Events Probability of occurrence Wherein the event Indicating that the two pulses belong to the same source, event Meaning that the two pulses do not belong to the same radiation source, Representing the measurement difference value of the pulse signals to be complemented; Likelihood ratios are defined, the expression of which is: ; based on the likelihood ratio, calculating the misjudgment probability by combining with Nalmen Pearson criterion And obtain threshold values under different misjudgment probabilities ; Measuring the difference of the pulse signals to be complemented And the threshold value For comparison, if Event then Hold true, otherwise, event Establishment; pulse signals originating from the same radiation source are determined as pulse signals to be complemented.
3. The method for collaborative complementary sorting of passive radar networking signals according to claim 2, wherein sorting the complementary pulse sequence signals by cumulative difference histogram method to separate pulse sequences of different radiation sources comprises: counting and drawing a primary difference histogram based on the time interval of adjacent pulses of the pulse sequence signal after the accumulated differences are complemented; Calculating a secondary difference value histogram when the statistical value of the primary difference value histogram exceeds a preset threshold, and determining that PRI possibly exists if the statistical values of the primary difference value histogram and the secondary difference value histogram both exceed the preset threshold; Searching in the pulse sequence signals after the accumulated differences are complemented based on the PRI, if successful, removing the searched sequence, if failed, continuing to carry out secondary difference histogram statistics until the searching is successful, and the like; And carrying out primary difference histogram statistics on the pulse sequence signals after the accumulated differences after the sequence removal are complemented, and repeatedly searching until no difference histogram exceeds a threshold, thereby separating pulse sequences of different radiation sources.
4. The method for collaborative complementary sorting of passive radar networking signals according to claim 1, wherein sorting the complementary pulse sequence signals by cumulative difference histogram method to separate pulse sequences of different radiation sources comprises: Sorting the pulse signals after the instantaneous cooperative correlation complementation by using a cumulative difference histogram method, and separating out signals belonging to the same radiation source as the reference pulse; And eliminating the signals successfully sorted, and returning to the step of carrying out instantaneous cooperative correlation complementation on the pulse sequence signals until all the signals are sorted out, thereby separating pulse sequences of different radiation sources.
5. A passive radar networking signal cooperative complementary sorting system for implementing the method of claim 1, comprising: The cooperative complementation module is used for performing cooperative complementation on the aliasing radiation source pulse sequence signals received by the plurality of passive radar stations to obtain complementary pulse sequence signals; And the signal sorting module is used for sorting the complementary pulse sequence signals by using a cumulative difference histogram method so as to separate the pulse sequences of different radiation sources.
6. The passive radar networking signal cooperative complementary sorting system according to claim 5, wherein the cooperative complementary module comprises a time cumulative difference complementary unit and a transient cooperative correlation complementary unit; the time accumulated difference complementation unit is used for carrying out accumulated difference complementation on the aliasing radiation source pulse sequence signals received by the plurality of passive radar stations to obtain pulse sequence signals after the accumulated difference complementation; The instantaneous cooperative correlation complementation unit is used for carrying out instantaneous cooperative correlation complementation on the aliasing radiation source pulse sequence signals received by the plurality of passive radar stations to obtain pulse signals after the instantaneous cooperative correlation complementation.

Description

Method and system for cooperative complementary sorting of passive radar networking signals Technical Field The invention belongs to the technical field of passive radars, and particularly relates to a passive radar networking signal cooperative complementary sorting method and system. Background Passive radar, also called passive radar, does not radiate electromagnetic waves, but directly detects the position of a target by using the energy radiated by the target. The radiation source target signal sorting is an important component of passive radar networking work, and is also a necessary premise and basis for the passive radar networking to position the radiation source and perform subsequent work. Only if the aliased signals are successfully sorted, the next step of positioning and tracking can be performed. In the current signal sorting field, the method for sorting the radiation source signals at home and abroad mainly comprises two main types, namely a sorting method based on pulse repetition interval (Pulse Repetition Interval, PRI) and a sorting method based on multi-parameter feature fusion. The PRI-based sorting method mainly comprises a statistical histogram method, a cumulative difference histogram method, a sequence difference histogram method, a PRI transformation method and the like. The multi-parameter fusion-based method comprises a clustering-based signal sorting method and a neural network-based signal sorting method. The sorting method based on the neural network is to convert the problem of sorting the radiation source signals into the problem of image recognition to sort the signals. However, the current research focus is focused on the rapid and accurate estimation of the target signal PRI of the radiation source, or the innovation of the classification algorithm, whether the PRI-based sorting method or the multi-parameter feature fusion method, and the influence of the pulse loss phenomenon on sorting in a real environment is not considered. For the pulse loss phenomenon, the domestic scholars Yang Cui analyze that the reasons for the phenomenon mainly include the loss of the receiving condition of the unsatisfied signal, the loss caused by the simultaneous arrival signal, the loss in the recovery time of the receiver, the loss caused by the improper signal processing and sorting, the loss of the low-repetition-frequency signal caused by the too small buffer area, and the like. Based on the above reasons, relevant scholars propose some targeted solutions, for example Wang Huijuan et al propose a maximum common denominator method based on band tolerance to perform PRI estimation under the condition of high pulse loss rate, so that a high signal sorting success rate is still achieved under the condition of serious pulse loss. However, the existing method is mainly based on a single-station passive radar for carrying out algorithm innovation, and in the process of actual signal sorting, the single-station passive radar can cause the condition that the signal sorting performance is reduced, the accuracy is not high and even the signal sorting fails due to pulse loss. Disclosure of Invention The invention provides a method and a system for collaborative complementary sorting of passive radar networking signals, which are used for solving the problem of signal sorting performance reduction of a single passive radar receiving station caused by a pulse loss phenomenon in the prior art. The technical problems to be solved by the invention are realized by the following technical scheme: in a first aspect, the invention provides a passive radar networking signal cooperative complementary sorting method, which comprises the following steps: Carrying out cooperative complementation on the aliasing radiation source pulse sequence signals received by a plurality of passive radar stations to obtain complementary pulse sequence signals; And sorting the complementary pulse sequence signals by using a cumulative difference histogram method to separate pulse sequences of different radiation sources. In a second aspect, the present invention provides a passive radar networking signal cooperative complementary sorting system, including: The cooperative complementation module is used for performing cooperative complementation on the aliasing radiation source pulse sequence signals received by the plurality of passive radar stations to obtain complementary pulse sequence signals; And the signal sorting module is used for sorting the complementary pulse sequence signals by using a cumulative difference histogram method so as to separate the pulse sequences of different radiation sources. The invention has the beneficial effects that: The invention provides a cooperative sorting method of passive radar networking signals based on the characteristics that the data received by each passive radar station of the passive radar networking has the same characterization to the current environment and the information