DocumentCode :
258014
Title :
DOA matrix based robust beamforming in the presence of steering vector mismatch
Author :
Wei Guo ; Pengcheng Mu ; Jiancun Fan ; Hui-Ming Wang ; Qinye Yin
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´an Jiaotong Univ., Xi´an, China
fYear :
2014
fDate :
3-5 Dec. 2014
Firstpage :
1088
Lastpage :
1092
Abstract :
The minimum variance distortionless response (MV-DR) beamformer is very sensitive to the steering vector mismatch. Such mismatch can lead to serious degradation of the beamforming performance especially at high signal-to-noise ratio (SNR). In this paper, a new robust beamformer based on the DOA matrix is proposed to solve the steering vector mismatch. Through the left eigendecomposition of the DOA matrix, a subspace which is orthogonal to the interference subspace can be obtained and is further used to construct the beamforming weight vector. Simulation results show the effectiveness of our proposed method.
Keywords :
array signal processing; matrix decomposition; statistical analysis; DOA matrix; MV-DR beamformer; SNR; beamforming weight vector; direction-of-arrival matrix; eigendecomposition; minimum variance distortionless response beamformer; signal-to-noise ratio; steering vector mismatch; Arrays; Covariance matrices; Interference; Robustness; Signal to noise ratio; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
Conference_Location :
Atlanta, GA
Type :
conf
DOI :
10.1109/GlobalSIP.2014.7032289
Filename :
7032289
Link To Document :
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