Source localization using a sparse representation framework to achieve superresolution

被引：29

作者：

Guo, Xiansheng ^{[1
,2
]}

Wan, Qun ^{[2
]}

Chang, Chunqi ^{[1
]}

Lam, Edmund Y. ^{[1
]}

机构：

[1] Univ Hong Kong, Dept Elect & Elect Engn, Pokfulam, Hong Kong, Peoples R China

[2] Univ Elect Sci & Technol China, Dept Elect Engn, Chengdu 610054, Peoples R China

来源：

MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING | 2010年 / 21卷 / 04期

基金：

国家高技术研究发展计划(863计划); 中国国家自然科学基金;

关键词：

Direction-of-arrival (DOA); Source localization; Array signal processing; Sparsity; Resampling; Superresolution; SIGNAL RECONSTRUCTION; DOA ESTIMATION;

D O I：

10.1007/s11045-010-0119-y

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We present a source localization approach using resampling within a sparse representation framework. In particular, the amplitude and phase information of the sparse solution is considered holistically to estimate the direction-of-arrival (DOA), where a resampling technique is developed to determine which information will give a more precise estimation. The simulation results confirm the efficacy of our proposed method.

引用

页码：391 / 402

页数：12

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