Title :
Robust MVDR beamforming using the DOA matrix decomposition
Author :
Li, Dan ; Yin, Qinye ; Mu, Pengcheng ; Guo, Wei
Author_Institution :
Minist. of Educ. Key Lab. for Intell. Networks & Network Security, Xi´´an Jiaotong Univ., Xi´´an, China
Abstract :
The minimum variance distortionless response (MVDR) beamformer is very sensitive to errors, such as the the finite snapshots and the steering vector errors. A small mismatch can lead to serious degradation to its performance, especially at high signal-to-noise ratio(SNR). In this paper, a new robust MVDR beamformer is proposed. Our analysis starts from the physical meaning of the MVDR weight vector formula. Based on this analysis, DOA matrix is constructed in the single uniform linear array. Through the decomposition of this DOA matrix, we could obtain the actual signal modes contained in the covariance matrix of the snapshots. Then the weight vector could be modified to solve the robustness problem of MVDR beamforming. The computer simulation shows the effectiveness of this method.
Keywords :
array signal processing; covariance matrices; direction-of-arrival estimation; matrix decomposition; DOA matrix decomposition; MVDR weight vector formula; covariance matrix; finite snapshots; minimum variance distortionless response beamformer; robust MVDR beamforming; signal modes; single uniform linear array; Array signal processing; Arrays; Covariance matrix; Interference; Loading; Robustness; Signal to noise ratio;
Conference_Titel :
Access Spaces (ISAS), 2011 1st International Symposium on
Conference_Location :
Yokohama
Print_ISBN :
978-1-4577-0716-2
Electronic_ISBN :
978-1-4577-0715-5
DOI :
10.1109/ISAS.2011.5960929
