Superresolution ISAR imaging of maneuvering targets via subspace tracking

被引：0
|
作者：
Fu, T [1 ]
Gao, MG [1 ]
Han, YQ [1 ]
机构：
[1] Beijing Inst Technol, Dept Elect Engn, Beijing 100081, Peoples R China
来源：
PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2 | 2003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：
For the problem of ISAR imaging of maneuvering targets, the Doppler frequency shifts are time-varying and range migration may still happen even after the motion compensation due to the complex motion of targets. Sliding window MUSIC algorithm based on a computationally efficient subspace updating method which takes advantage of the URV decomposition is applied to solve this problem. The effectiveness of this algorithm is shown by presenting and discussing some simulation results.
引用
收藏
页码：986 / 989
页数：4
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