计算机工程与应用2012，Vol.48Issue(29)：137-141,5.DOI:10.3778/j.issn.1002-8331.2012.29.028
基于冗余字典稀疏表示的二维DOA估计
Two dimensional DOA estimation based on redundant representation and sparse decomposition
陈玉龙 1黄登山2
作者信息
- 1. 西北工业大学电子信息学院,西安710129
- 2. 中国人民解放军63623部队
- 折叠
摘要
Abstract
For two uniform linear arrays with a certain included angle, a new Direction Of Arrival (DOA) estimation method based on sparse representation is proposed. By defining a space combined angle consisted of azimuth and elevation angles, the dimensions and length of the redundant dictionaries are largely reduced. The work of direction finding is transformed into a sparse representation problem of received data vectors, which is solved by an improved Orthogonal Matching Pursuit (OMP) algorithm. Compared with traditional high-resolution DOA methods, the new algorithm can achieve much better performance under condition of lower Signal-to-Noise Ratio(SNR), single snapshot of data, near and coherent sources, and it needs no eigenvalue decomposition and multi-dimensional spectrum searching, and needs fewer arrays.关键词
阵列信号处理/波达方向(DOA)估计/冗余字典/稀疏表示/空间合成角Key words
array signal processing/ Direction Of Arrival (DOA)/ redundant dictionary/ sparse representation/ space combined angle分类
信息技术与安全科学引用本文复制引用
陈玉龙,黄登山..基于冗余字典稀疏表示的二维DOA估计[J].计算机工程与应用,2012,48(29):137-141,5.
