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Clutter suppression methods based on reduced-dimension transformation for airborne passive radar with impure reference signals

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成果类型:
期刊论文
作者:
Deng, Yaqi;Zhang, Saiwen;Zhu, Qiuxiang;Zhang, Lincheng;Li, Wenguo*
通讯作者:
Li, Wenguo
作者机构:
[Li, Wenguo; Zhang, Lincheng; Zhang, Saiwen; Zhu, Qiuxiang; Deng, Yaqi] Hunan City Univ, Coll Informat & Elect Engn, Yiyang, Peoples R China.
通讯机构:
[Li, Wenguo] H
Hunan City Univ, Coll Informat & Elect Engn, Yiyang, Peoples R China.
语种:
英文
关键词:
Blind equalization;Clutter (information theory);Radar clutter;Radar signal processing;Airborne passive radars;Clutter suppression;Dimension transformations;Least mean square algorithms;Recursive Least Square algorithm;Reference channels;Reference signals;Robust characteristic;Echo suppression
期刊:
Journal of Applied Remote Sensing
ISSN:
1931-3195
年:
2021
卷:
15
期:
1
基金类别:
This work was supported by the National Natural Science Foundation of China under Grant Nos. 11904092
机构署名:
本校为第一且通讯机构
院系归属:
信息与电子工程学院
摘要:
For an airborne passive radar with impure reference signals, the clutter caused by multipath (MP) signals involved in the reference channel (MP clutter) corrupts the space-time adaptive processing performances. To eliminate the influence of the MP clutter, two clutter suppression methods based on reduced-dimension (RD) transformation are proposed herein. RD transformation is exploited to reduce the size of the sparse recovery dictionary. Subsequently, the sparse recovery problem is revised, and the MP clutter is suppressed using the least mean ...

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