NEW COMPRESSED SENSING ISAR IMAGING ALGORITHM BASED ON LOG-SUM MINIMIZATION

被引：2

作者：

Cheng Ping ^{[1
]}

Zhao Jiaqun ^{[2
]}

机构：

[1] Hohai Univ, Coll Comp & Informat, Nanjing 211100, Jiangsu, Peoples R China

[2] Hohai Univ, Coll Sci, Nanjing 210098, Jiangsu, Peoples R China

来源：

Journal of Electrical Engineering-Elektrotechnicky Casopis | 2016年 / 67卷 / 06期

基金：

高等学校博士学科点专项科研基金; 中国国家自然科学基金;

关键词：

compressed sensing (CS); inverse synthetic aperture radar (ISAR); log-sum; APERTURE;

D O I：

10.1515/jee-2016-0064

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：

To improve the performance of inverse synthetic aperture radar (ISAR) imaging based on compressed sensing (CS), a new algorithm based on log-sum minimization is proposed. A new interpretation of the algorithm is also provided. Compared with the conventional algorithm, the new algorithm can recover signals based on fewer measurements, in looser sparsity condition, with smaller recovery error, and it has obtained better sinusoidal signal spectrum and imaging result for real ISAR data. Therefore, the proposed algorithm is a promising imaging algorithm in CS ISAR.

引用

页码：439 / 443

页数：5

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