Rice雜波中Swerling Ⅱ目標(biāo)的似然比檢測(cè)
LIKELIHOOD RATIO DETECTION OF SWERLING Ⅱ TARGETS IN RICIAN CLUTTER
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摘要: 正 1.引言 描述地雜波統(tǒng)計(jì)特性時(shí)常用Rice模型,其物理基礎(chǔ)是認(rèn)為地雜波由固定反射體引起的穩(wěn)定分量和大量運(yùn)動(dòng)散射體引起的瑞利起伏分量所合成。Fogel曾導(dǎo)出穩(wěn)定分量不相干時(shí)Rice雜波中離散時(shí)間最佳檢測(cè)的估值器-相關(guān)器結(jié)構(gòu),但仍得不到顯式解,實(shí)現(xiàn)有困難,他轉(zhuǎn)而研究了一種次最佳檢測(cè)器
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關(guān)鍵詞:
Abstract: The discrete time detection of Swerling Ⅱtargets in Rician clutter is investigated. The likelihood ratio (LR) detector struetures when the clutter steady component is coherent and noncoherent are developed respeetively. The efficacy expressions for the detectors are derived. The calculation results show that the more the clutter statistics depart from the Gaussian situation, the better is the detection performance of LR detectors than that of square law detector. The ARE in case of clutter steady component being coherent can be more than twofold higher than that in case of clutter steady component being noncoherent. -
M.W.Long, Radar Reflectivity of Land and Sea, Artech House, Dedham, Mass., 1983.[2]A. Fogel, IEEE Trans. on IT, IT-29(1983), 761.[3]A. D. Whalen, Detection of Signals in Noice, Academic Press, New York, 1971.[4]J. S. Bird, Ground Clutter Suppression Using a Coherent Clutter Map, Radar-82, IEE Conference Publication Number 216, 18-20 October 1982, pp 491-495.[5]M. I. Skolnik, Introduction to Radar Systems, McGraw-Hill, New York, 1980.[6]H. Cramer, Mathematical Methods of Statistics, Princeton Univ. Press, Princeton, New Jersey,1958. -
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