A real-valued sparse representation method for DOA estimation with unknown mutual coupling

被引：0
|
作者：
Wu, Zhen [1 ]
Dai, Ji-Sheng [1 ,2 ]
Zhu, Xiang-Lin [1 ]
Zhao, De-An [1 ]
机构：
[1] School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu
[2] National Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, Jiangsu
来源：
Binggong Xuebao/Acta Armamentarii | 2015年 / 36卷 / 02期
关键词：
Direction of arrival estimation; Information processing technology; Mutual coupling; Sparse representation; Uniform linear array;
D O I：
10.3969/j.issn.1000-1093.2015.02.015
中图分类号：
学科分类号：
摘要：
The paper presents a real-valued sparse representation method for DOA estimation in the presence of unknown mutual coupling. Utilizing a certain unitary transformation and taking advantage of the special structure of mutual coupling matrix (MCM) for uniform linear arrays (ULAs), we are able to convert complex-valued manifold matrices of ULAs with unknown mutual coupling into real ones. Due to this transformation, the computational complexity can be decreased by a factor of at least four. Moreover, the proposed method is expected to have a better noise suppression, as it exploits an additional optimal weighting matrix. Thus, the proposed method outperforms the original one, especially when signal-to-noise ratio (SNR) is low. Simulation results verify the efficiency of the proposed method. ©, 2015, China Ordnance Society. All right reserved.
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页码：294 / 298
页数：4
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