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When the covariance matrix is estimated with training samples contaminated by target like signals, the performance of target detection in multiple input multiple output (MIMO) radar space time adaptive processing (STAP) decreases. Aiming at this deficiency, a knowledge aided (KA) generalized inner product (GIP) method for non homogeneous samples detection is proposed. Firstly the clutter subspace knowledge estimated by prolate spheroidal wave functions is utilized to construct the clutter covariance matrix offline. Then the GIP non homogeneity detector (GIP NHD) is integrated to realize the effective selection of training samples, which eliminates the effect of the target like signals in training samples on target detection. The simulation results show that compared with the conventional GIP method, the KA GIP method can screen out contaminated training samples more effectively and the target detection performance of MIMO radar STAP can be improved significantly. 〖JP2〗Thus the proposed KA GIP method is more valuable for practical engineering application. 相似文献
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本文简要分析教材《辽阔的疆域》,较详细地叙述笔者创作并参加优质课竞赛获得一等奖的PPT课件《辽阔的疆域》七个板块各个幻灯片的内容设计。 相似文献
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王珽 《厦门理工学院学报》2008,16(2):107-112
通过对三部单语词典和三部英汉词典前言与词条中语域标注的分析,就英汉词典语域标注使用的语言,标注种类、对象及如何确定标注的标准提出了一些看法,并建议使用语料库进行语域分析。 相似文献
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