Maximum likelihood identification of glint noise

被引：13
|
作者：
Wu, WR
机构：
[1] Dept. of Communication Engineering, National Chiao Tung University, Hsinchu
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 1996年 / 32卷 / 01期
关键词：
D O I：
10.1109/7.481248
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
If the non-Gaussian distribution function of radar glint noise is known, the Masreliez filter can be applied to improve target tracking performance. We investigate the glint identification problem using the maximum likelihood (ML) method. Two models for the glint distribution are used, a mixture of two Gaussian distributions and a mixture of a Gaussian and a Laplacian distribution An efficient initial estimate method based on the QQ-plot is also proposed. Simulations show that the ML estimates converge to truths.
引用
收藏
页码：41 / 51
页数：11
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