Compressive sensing imaging for general synthetic aperture radar echo model based on Maxwell's equations

被引：2

作者：

Sun, Bing ^{[1
,2
]}

Cao, Yufeng ^{[2
,3
]}

Chen, Jie ^{[1
]}

Li, Chunsheng ^{[1
]}

Qiao, Zhijun ^{[2
]}

机构：

[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China

[2] Univ Texas Pan Amer, Dept Math, Edinburg, TX 78539 USA

[3] Washington State Univ, Dept Math, Pullman, WA 99163 USA

来源：

EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING | 2014年

关键词：

Compressive sensing; General echo model; Maxwell's equations; Synthetic aperture radar; SIGNAL RECOVERY;

D O I：

10.1186/1687-6180-2014-153

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：

A general echo model is derived for the synthetic aperture radar (SAR) imaging with high resolution based on the scalar form of Maxwell's equations. After analyzing the relationship between the general echo model in frequency domain and the existing model in time domain, a compressive sensing (CS) matrix is constructed from random partial Fourier matrices for processing the range CS SAR imaging. Simulations validate the orthogonality of the proposed CS matrix and the feasibility of CS SAR imaging based on the general echo model.

引用

页码：1 / 10

页数：10

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