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Research On Algorithms Of Intrapulse Analysis And Identification Of Radar Signals

Posted on:2014-06-11Degree:MasterType:Thesis
Country:ChinaCandidate:S M LiuFull Text:PDF
GTID:2268330401952848Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Along with the signal density of the electronic warfare environment increasing,the new system radar developing rapidly, the space electromagnetic environmentincreasingly complicated, the detection, the identification and the parameter estimationof radar signal are becoming the key signal processing of electronic intelligencereconnaissance system, also the hot spot and the difficulty in the electroniccountermeasures signal processing research. This paper make a exploratory, systematicresearch of the existing problems and difficulties detection and estimation algorithm ofa variety of radar signals, so as to realize the electronic information acquisition ofcomplex signal environment.Common radar signal have the single carrier frequency signal and the linearfrequency modulation signal, the phase encoding signal and the polynomial phasesignal. This paper mainly aims at this several signals’recognition research,establishingthe mathematical model of the radar signal, analyzing their time domain features andfrequency domain features, but also using different algorithms according to thedifferent characteristics of the signal.This paper uses the high order ambiguity function to study and analyze thepolynomial phase signal, judging the decision polynomial phase signal and estimatingeach phase coefficient. Moreover, The Wigner-Ville time-frequency distributionmethod, the Radon transform method, the fractional Fourier transform method are usedto detect and recognize the linear frequency modulation signal, combined with thecharacteristics of the time-frequency resolution to carry out the parameter estimation ofdigital detection results. It also uses the wavelet transform method, the instantaneousfrequency method and the square method to distinguish two phase encoding signalsfrom four phase coded signals. Through a lot of simulation results, it shows that theradar signal recognition algorithm in this paper is feasible and effective, and has goodperformance.
Keywords/Search Tags:Radar signal recognition, Parameter Estimation, High-orderAmbiguity Function, Radon Transform method, Fractional Fourier Transform, Time-frequency resolution
PDF Full Text Request
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