Detection of low SNR moving targets with time varying amplitude

被引：0
|
作者：
Tonissen, SM
BarShalom, Y
机构：
来源：
ISSPA 96 - FOURTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2 | 1996年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a maximum likelihood solution to the problem of detection and tracking of low SNR constant velocity targets. The signal model improves on previous ap preaches by accounting for time varying target amplitude. Coupled with a realistic sensor model, this allows for exploitation of signal correlation between resolution cells in the same frame, and also from one frame to the next. Results for the general case and three special cases show good detection performance at SNRs much lower than would be possible with conventional tracking techniques.
引用
收藏
页码：29 / 32
页数：4
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