跳频信号参数盲估计方法-研究

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1、西南交通大学硕士研究生学位论文第ll页Abstr‘actFrequencyhoppingcommunicationhasbeenwidelyusedinmilitaryfrequencyhoppingradio，becauseofitsLPI／LPD(10wprobabilityofinterception／detection)andgoodanti-jammingfeatures，whichincreasethedifficultyofFHsignaldetectionandinterceptionforthethirdco

2、mmunicationinnon-cooperativecommunication．Therefore，researchingeffectiveinterceptionandblindparameterestimationalgorithmsforFHsignalshavesignificantmilitarymeaning．Frequencyhoppingsignalisatypicalkindofnon-stationarysignal，whiletime·frequencyanalysistechniqueisavery

3、powerfultoolforanalyzingnon—stationarysignal，andtheresearchoftime-frequencymethodsforFHsignalanalysishasbeenahotspotincommunicationcountermeasuresarea．Theexistingmethodsmostlysolvedtheproblembydiscoveringorimprovingnewtime·frequencyanalysisalgorithmswithoutfurtherst

4、udyofdiscoveringhowtoestimateFHsignalparametersefficientlybytime-frequencyanalysisalgorithms．Foranotherword，theinfluenceoftime-frequencyalgorithmsparametersontheparameterestimationperformanceisrarelymentionedinthepublications．AccordingtodifferenttypesofFHsignals，the

5、thesisanalyzedtheinfluenceofthetime—frequencydistributionparametersonparameterestimationperformance．Atthesailletime，studiedtheappropriateparameterestimationalgorithmsfordifferenttypesofFHsignal．Firstly,onthebasisoflearningvariousdifferenttime·frequencyanalysisalgori

6、thms(STFT,WWD，SPWVD，RSPWVD，WTetc．)，Ⅱleirrespectivecharacteristicsaresimulated．Amongthem，focusedonresearchingtheimpactofdifferenttime—frequencywindowfunctionlengthonthetime—frequencyaggregationperformanceofSPWVD，andtheoptimalwindowlengthbasedonentropymeasureforSPWVDa

7、reproposed，thesimulationresultsshowedthattheoptimalwindowlengthhasabetterestimationperformancethanthegeneralwindowlength．Moreover,parameterestimationalgorithmsbasedontime-frequencyanalysistechniqueforhighandlowspeedhopratesoftheFHsignalarestudiedin-depthrespectively

8、,andtheexistedparameterestimationalgorithmsarereproducedbyMATLABsimulation．Secondly,ashopdurationestimationisakeypartforparameterestimatio