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Acta Armamentarii ›› 2015, Vol. 36 ›› Issue (2): 294-298.doi: 10.3969/j.issn.1000-1093.2015.02.015

• Paper • Previous Articles     Next Articles

A Real-valued Sparse Representation Method for DOA Estimation with Unknown Mutual Coupling

WU Zhen1, DAI Ji-sheng1,2, ZHU Xiang-lin1, ZHAO De-an1   

  1. (1.School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China;2National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, Jiangsu, China)
  • Received:2013-09-27 Revised:2013-09-27 Online:2015-04-07
  • Contact: WU Zhen E-mail:zhenwu.ujs@gmail.com

Abstract: 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.

Key words: information processing technology, direction of arrival estimation, sparse representation, mutual coupling, uniform linear array

CLC Number: