Detection and imaging of slowly moving target of airborne SAR based on the GMCWD-Hough transform

被引：0

作者：

Ling, W ^{[1
]}

Tao, R ^{[1
]}

Zhou, SY ^{[1
]}

机构：

[1] Beijing Inst Technol, Dept Elect Engn, Beijing 100081, Peoples R China

来源：

2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL VI, PROCEEDINGS: SIGNAL PROCESSING THEORY AND METHODS | 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：

In this paper, the features of airborne SAR moving target echoes are analysed, the Generalized-marginal Choi-Williams Distribution-Hough transform is also introduced. According to the echoes model of airborne SAR, a new method of detecting and imaging the slowly moving target of airborne SAR based on the Generalized-marginal Choi-Williams Distribution-Hough transform (GMCWD-HT) is proposed in the paper. Computer simulation results show that this method can be used to perform the slowly moving target detection and imaging of airborne SAR in the low signal to clutter ratio, its detecting performance is better than the common method based on Wigner-Ville distribution.

引用

页码：525 / 528

页数：4

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