Radar Signal Sorting And Identification And Threat Level Assessment

With the continuous development of electronic countermeasures technology,the performance requirements for radar detection related algorithms are gradually increasing.Firstly,it is necessary to perform radar signal sorting and recognition,de interleave the received radiation source pulse sequence,and then evaluate the threat level of several sets of radiation source characteristic parameters and repetition frequencies that are de interleaved,fully utilizing limited resources and guiding subsequent combat plans.With the continuous development of electromagnetic countermeasures technology,high-performance radars such as phased array multifunctional radars are becoming more and more widely used.Traditional sorting algorithms based on parameters such as carrier frequency and pulse width may face many problems such as batch addition in emerging systems.While realizing the sorting recognition and threat level assessment of conventional mechanical rotation radars,research should also be conducted on the relevant content of phased array multifunctional radar systems,including hierarchical structure Extraction of waveform units and reconstruction of functional layers.This paper mainly focuses on the sorting and identification of radar radiation sources and the threat level assessment of radiation sources based on feature parameters.Firstly,the basic principle of radar radiation source sorting is introduced,including the characteristic parameter composition of Pulse Description Word(PDW)and pulse to pulse modulation characteristics.Then,some classic methods based on pulse to pulse modulation feature sorting and clustering methods based on feature parameters are introduced.Then some factors that affect sorting performance in the current electromagnetic environment were proposed,including the increase in pulse flow density causing time-domain aliasing of interception signals,various intentional or unintentional interferences,and various complex modulation types.On this basis,the limitations of existing sorting algorithms were introduced,including the significant impact of parameters such as prior threshold on algorithm performance,and the failure to consider potential issues brought by channelization technology in practical applications.This leads to the new algorithm proposed in this article-a multistation joint sorting algorithm based on Partial Connection Number(PCN)and optimized plane transformation.This algorithm can achieve accurate clustering of feature parameters and acquisition of inter pulse repetition frequency modulation information without prior threshold information,and has certain adaptability to pulse loss,At the same time,multiple receiving platforms enable this algorithm to solve a series of problems brought about by channelization techniques and adapt to the sorting of complex radar systems such as phased array multifunctional systems.Then,based on the selected parameters of several radiation sources,the threat level of multiple radiation sources can be scored using Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation Method,achieving reasonable utilization of limited resources in electromagnetic countermeasures environment.Finally,in view of the limitations of the existing recognition algorithms and threat level assessment schemes that are difficult to adapt to the phased array multi-function radar system,the signal hierarchy of the new radar system is analyzed,and a set of waveform unit extraction and function layer reconstruction schemes are proposed.Based on the amplitude mutation characteristic of the received signal beam switching,the switching point is identified and extracted based on the statistical change point detection algorithm,so as to realize the extraction of the waveform unit;Then,based on Occam’s razor law,the waveform unit combination with the minimum information entropy corresponding to the reconstructed function layer is found with the waveform unit as the basic unit,which is the real function layer combination.