Method for Choosing Regularization Parameter in 2D SAR Imaging

被引：0

作者：

Zhu, Xiaoxiang ^{[1
]}

Jin, Guanghu ^{[1
]}

He, Feng ^{[1
]}

Dong, Zhen ^{[1
]}

机构：

[1] Natl Univ Sci & Technol, Sch Elect Scienceand Engn, Inst Space Elect & Informat Technol, Changsha 410073, Hunan, Peoples R China

来源：

2016 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM (PIERS) | 2016年

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

For sparse Radar signals, sparse imaging method is subversion of the traditional imaging method, which breaks through the limitations existing in traditional imaging method. In order to improve the imaging quality of Radar signals, we don't only realize the sparse radar imaging algorithm, but also propose a new method for choosing regularization parameter in 2D radar imaging. The imaging result verifies the validity of the new method.

引用

页码：2080 / 2084

页数：5

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