Estimating the length of a radar shadow in shadow-feature-enhanced detection using a fuzzy system
作者： J.W. Minett , S.W. Leung , Y.M. Siu , K.T. Ng , W.N. Chau
DOI: 10.1109/FUZZ.2001.1007260
关键词: Low probability of intercept radar 、 Stationary target indication 、 Envelope (radar) 、 Shadow 、 Bistatic radar 、 Radar lock-on 、 Radar 、 Detector 、 Radar imaging 、 Continuous-wave radar 、 Computer vision 、 Radar engineering details 、 Clutter 、 Constant false alarm rate 、 Radar tracker 、 Artificial intelligence 、 Computer science 、 Man-portable radar 、 Radar horizon 、 Track-before-detect
摘要: Shadow-feature-enhanced radar detection algorithms potentially allow the probability of target to be substantially increased when a casts shadow across region clutter beyond it. However, length is not correctly known, much potential performance gain may lost. We demonstrate method for estimating using simple fuzzy system. apply estimation shadow-feature-enhanced maximum-likelihood constant false alarm rate (ML-CFAR) detector, showing that its can greatly improved known priori.
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