ISAR imaging with sparse stepped frequency waveforms via matrix completion

被引：17

作者：

Hu, Xiaowei ^{[1
]}

Tong, Ningning ^{[1
]}

Ding, Shanshan ^{[1
]}

He, Xingyu ^{[1
]}

Zhao, Xiaoru ^{[1
]}

机构：

[1] Air Force Engn Univ, Early Warning & Guidance Dept, Air & Missile Def Coll, Xian, Shaanxi, Peoples R China

来源：

REMOTE SENSING LETTERS | 2016年 / 7卷 / 09期

基金：

中国国家自然科学基金;

关键词：

Image enhancement - Compressed sensing - Inverse problems - Radar imaging - Matrix algebra;

D O I：

10.1080/2150704X.2016.1192699

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

Compressive sensing (CS) has been introduced into inverse synthetic aperture radar (ISAR) imaging with sparse stepped frequency waveforms (SSFWs). However, the performance of CS-based method decreases obviously for complex targets imaging in practice due to the CS-induced irregular range cell migration (IRCM) problem in the recovered high-resolution range profiles (HRRPs). In this letter, a novel method based on matrix completion (MC) theory is proposed for ISAR imaging with SSFWs. By reshaping the sparse stepped frequency echo into a Hankel matrix form, the full frequency signal can be recovered via MC algorithms. Thus, HRRPs without IRCM will be produced and an improved ISAR image will be obtained. The simulated results with real data demonstrate the validity of the proposed method.

引用

页码：847 / 854

页数：8

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