HIGH RESOLUTION THROUGH-WALL RADAR IMAGING USING HYPERPARAMETER-FREE LIKES METHOD

被引：0

作者：

Zheng, Chundi ^{[1
]}

Li, Gang ^{[2
]}

机构：

[1] Naval Marine Acad, Guangzhou 510430, Guangdong, Peoples R China

[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

来源：

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年

基金：

中国国家自然科学基金;

关键词：

Sparse signal recovery; through-wall radar; array signal processing;

D O I：

10.1109/IGARSS.2016.7730912

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：

In this paper, we exploit the hyperparameter-free LIKelihoodbased-Estimation of Sparse parameters (LIKES) method for Through-the-Wall Radar Imaging (TWRI). The Rotational Signal Subspace (RSS) method is utilized to convert the single snapshot data set into the equivalent multiple snapshots, which allows us to apply LIKES to TWRI without loss of array aperture. Experiments on real data show that LIKES can improve the image quality compared to the Back-Projection (BP) and Capon algorithms.

引用

页码：7330 / 7333

页数：4

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