A new method of radar clutter recognition based on multi-α truncation set
Fang Xueli, Liang Dian-nong, Zou Kun, Dong zhen, Huang Xiaotao · 2004
Radar clutter recognition is very useful for modern radar signal processing system. /spl alpha/ truncation set feature extraction based method needs short samples and has very high recognition rate for log-normal distribution clutter, but suffers shortcomings of high error recognition rate to discriminate Weibull from K-distribution when the samples are short. A modified radar clutter recognition method based on /spl alpha/ truncation set feature extraction - multi-/spl alpha/ truncation set feature extraction based radar clutter recognition method is presented in this paper, we point out that this method is a generalized form of rectangular figure-based method. From the simulation results and analyzing of real radar clutter test, it is seen that this method is more valid, practical and prospective.