Title :
Performance Analysis for Finite Sample MVDR Beamformer With Forward Backward Processing
Author :
Zhang, Lei ; Liu, Wei ; Yu, Lei
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Sheffield, Sheffield, UK
fDate :
5/1/2011 12:00:00 AM
Abstract :
The employment of forward-backward (FB) processing to both batch and adaptive beamformers provides a superior performance than the forward only (FO) algorithm. Based on the finite-sample minimum variance distortionless response (MVDR) beamformer, a set of closed-form expressions for the variance of the weight vector, the output signal-to-interference-plus-noise ratio (SINR) and the mean-square error (MSE) is derived, for both FB and FO algorithms. As shown in our analysis, all errors of the FB algorithm are only approximately half of the FO case.
Keywords :
array signal processing; mean square error methods; MSE; MVDR beamformer; SINR; adaptive beamformers; batch beamformers; finite sample MVDR beamformer; finite-sample minimum variance distortionless response; forward backward processing; forward only algorithm; mean-square error; performance analysis; signal-to-interference-plus-noise ratio; Arrays; Correlation; Covariance matrix; Estimation; Interference; Matrices; Signal to noise ratio; Finite sample; MSE; MVDR beamformer; SINR; Wishart distribution; forward backward;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2011.2109957
