天波超視距雷達機動目標檢測.pdf

1、南京理工大學碩士學位論文天波超視距雷達機動目標檢測姓名：周海峰申請學位級別：碩士專業(yè)：電子與通信工程指導教師：沙侃倪菁20091230AbstractSkyWaveover—thehorizonradartransmitslinearfrequencymodulatedcontinuouswavetoachievelongrangedetectionthroughthewavereflectlonofionosphereRadarrec

2、eiverprocessesechoeswithpulsecompresslon’transientinterferenceexcision，digitalbeamformingandcoherentintegrationandcompletestargetdetectiononRange—DopplerplaneForthosetargetswithconstantspeed，theaboveprocessingcanintegrat

3、etargetechoestoachieveanefficientdetection：however，formaneuveringtargets，asaresultofnonlinearphasevariationduetotime—varyingspeed，theprecedingschemewillleadtospectrumspread，hencelowerintegrationperformance，andsystemdetec

4、tionprobabilityofmaneuveringtargetsThispaperresearchesmainlyonmaneuveringtargetdetectionofSky—WaveOTHRSuchalgorithmsasMulti—channelcompensation，Matched—FFT，Multipolynomialphasearestudiedintermsofdetectionperformanceotman

5、euveringtargetandcomputationcomplexityandtestedwithrealdataConventionalFFT—basedsignalprocessingtechniqueinOTHradarcannotdetectmaneuveringtargeteffectivelyChannelCompensationmethodISimprovedinthispaper，inwhichcomputation

6、alloadandreal—timerealizationarefullyconsideredTheimprovedalgorithmisusedtocorrectcomDensation—causedFrequencybiasinthechannel—Dopplerspectrum，andthenGreatest—Ofprincipalisusedtoachievechannelsynthesizingforone—channelde

7、tectionFinally，peakdetectiontechniqueisintroducedtolowerdetectlonloadandfalsealarmAnalysisanddataprocessingprovedthe瑚ProVedalgorithmhaslowcomplexity，lowfalsealarmandrobustnessFinally，thealgorithmsarecomparedfromdifferent

8、aspectsandtheunsolvedproblemsareanalyzedFutureworkaboutmaneuverlngtargetdetectionisalSOpreviewedinthelastpartKeyWords：OTHRadar，Maneuveringtargetdetection，Multi—channelcompensation，MatchedFouriertransform，Multi—polynomial