Adaptive Robust Waveform Selection for Unknown Target Detection in Clutter

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摘要 Abasicassumptionofmostrecentlyproposedwaveformdesignalgorithmsisthatthetargetimpulseresponseisaknowndeterministicfunctionorastochasticprocesswithaknownpowerspectraldensity(PSD).However,itiswell-knownthatatargetimpulseresponseisneithereasilynoraccuratelyobtained;besidesitchangessharplywithattitudeangles.Bothoftheaforementionedcasescomplicatethewaveformdesignprocess.Inthispaper,anadaptiverobustwaveformselectionmethodforunknowntargetdetectioninclutterisproposed.Thetargetimpulseresponseisconsideredtobeunknownbutbelongstoaknownuncertaintyset.Anadaptivewaveformlibraryisdevisedbyusingasignal-to-clutter-plus-noiseratio(SCNR)-basedoptimalwaveformdesignmethod.Byapplyingtheminimaxrobustwaveformselectionmethod,theoptimalrobustwaveformisselectedtoensurethelowestperformanceboundoftheunknowntargetdetectioninclutter.Resultsshowthattheadaptivewaveformlibraryoutperformsthepredefinedlinearfrequencymodulation(LFM)waveformlibraryontheSCNRbound.
机构地区 不详
出版日期 2014年02月12日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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