強(qiáng)雜波下微弱目標(biāo)檢測(cè)算法研究.pdf

1、電子科技大學(xué)碩士學(xué)位論文強(qiáng)雜波下微弱目標(biāo)檢測(cè)算法研究姓名：黃紅平申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：信號(hào)與信息處理指導(dǎo)教師：張曉玲20100501ABSTRACTThedetectionofdimtargetisoneofthehot—spotaspectsintheresearchfieldofmodemradartechnologyItsapplicationhelpsradartosolvetheincreasinglyseriouschal

2、lengesInordertodeal晰tllthethreatsofthesupslowaltitudeintrudingweaponsanddimtargetsinstrongclutterenvironments，thecorrelativeresearchisurgentlyneededinthefieldofradardetertionSuchasthecorrespondingeffectivecluttersuppress

3、ionmethodstothecomplexs仃ongland／seaclutterandthetargetdetectionandtrackingalgorithmstothemodernweaktargetoftheinvsionInthisthesis，thebasicmechanismsofradartargetdetectionandcluttermodelandthesuppressiontechniqueshavebeen

4、analyzedThenthejointmethodbasedonconstantfalsealarmrate(CFAR)processingandtheHoughtransformbasedtrackbefore—detect(TBD)algorithmisproposedandthedetectionofweaktargetinstrongclutterenvironmentsbasedonthismethodisexploreda

5、ndinvestigatedforradardetectionThemainresultsareasfollows：1thebasicprincipleofradartargetdetectionisdiscussedseveralstatisticmodelsoftargetwidelyusedinradarandthebasicmechanismofradartargetdetectionisanalyzedindetail，the

6、ntheTBDalgorithmofdimtargetdetectionisintroductedfromaccumulationofsignaltoprovideatheoreticalbasisforresearch2CluttersuppressionmethodsareinvestigatedindetailFirstlyseveralclassicclutterstatisticalmodelsareanalyzedandth

7、entwotypicalcluttersuppressionmethodsarestudiedindetail：adaptivemovingtargetindication(AMTI)andspace—timeadaptiveprocessing(STAP)techniquetheprincipleofAMTIandOptimalSTAPhavebeenanalyzed，thensimulationsvenfythevalidityof

8、AMTIandthereduced—dimensionSTAPbasedonJointDomainLocalizedmethod(JDL)algorithm3Animprovedtwo—dimensionalCFARisproposedtheprinciplesandperformancesofvariousofCFARapproaehsareanalyzedthenallimprovedtwo—dimensionalCFARproce