简介：Abasicassumptionofmostrecentlyproposedwaveformdesignalgorithmsisthatthetargetimpulseresponseisaknowndeterministicfunctionorastochasticprocesswithaknownpowerspectraldensity(PSD).However,itiswell-knownthatatargetimpulseresponseisneithereasilynoraccuratelyobtained;besidesitchangessharplywithattitudeangles.Bothoftheaforementionedcasescomplicatethewaveformdesignprocess.Inthispaper,anadaptiverobustwaveformselectionmethodforunknowntargetdetectioninclutterisproposed.Thetargetimpulseresponseisconsideredtobeunknownbutbelongstoaknownuncertaintyset.Anadaptivewaveformlibraryisdevisedbyusingasignal-to-clutter-plus-noiseratio(SCNR)-basedoptimalwaveformdesignmethod.Byapplyingtheminimaxrobustwaveformselectionmethod,theoptimalrobustwaveformisselectedtoensurethelowestperformanceboundoftheunknowntargetdetectioninclutter.Resultsshowthattheadaptivewaveformlibraryoutperformsthepredefinedlinearfrequencymodulation(LFM)waveformlibraryontheSCNRbound.

简介：在渗透雷达(GPR)的地面的一个新奇喧嚷抑制方法被建议。初步的结果被使用分辨率改进了处理的目标(旅行)获得。初步的结果将为旅行重复被用作起始的输入。所有旅行重复步是以前的旅行结果和初步的结果的适应线性联合。这适应联合策略能平衡喧嚷抑制和目标信息保护，它在喧嚷抑制研究被看作一个麻烦矛盾和一个长期的问题。当重复结果的矩阵熵收敛时，算法能在喧嚷抑制和目标保护两个都完成好结果。试验性的结果证明新算法超过存在途径。

简介：Thispaperstudiesthedevelopmentonthefirstorderseacluttercrosssectionforbistatichighfrequencysurfacewaveradar(HFSWR).Basedonthereceivedfirstorderelectricfieldexpression,aclosed-formofcrosssectionsisderivedtoaccountforthecaseofreceivingantennaarraybeingmountedontheshipborneplatform.Theuniformlinearmotionandswaymotioncomponentsareassumedtoberesponsiblefortheobserveddifferencesincomparisonwiththebistaticfixedantennacase.Correspondingly,simulationsareconductedtostudytheseaclutterspectralcharacteristicsforthesetwocasesversusdifferentsystemparametersandseastateconditions.ItisshownnumericallythattheforwardmotioncomponentwillspreadtheBragglinesseverelyandtheinfluencetriggeredbytheswaymotioncanbeexplainedastheBesselfunctionmodulationoftheordinaryseaclutterspectra.TheobtainedresultshaveimportantimplicationsintheapplicationofshipborneHFSWRtechnologytooceanremotesensingandtargetdetection.

简介：在没有第二等的数据的compound-Gaussian喧嚷的适应雷达察觉的问题在这个paper.In大多数被认为实际应用，训练数据的数字是克服的limited.To训练数据的缺乏，一个autoregressive(AR)-processbased协变性矩阵评估者是proposed.Then，没有data.Finally训练，与一步舞概括了的估计的协变性矩阵，可能性的比率测试(GLRT)察觉者被设计，我们的建议察觉者的察觉性能被估计