Title
A robust approach to optimum widely linear MVDR beamformer
Abstract
In many array processing, the received signals are nonstationary, or in particular, noncircular. Widely linear minimum variance distortionless response (WL MVDR) beamformers can exploit the noncircularity of received signals and improve the performance of the conventional MVDR beamformer. However, in the optimum WL MVDR beamformer, the array steering vector (ASV) and the signal noncircularity coefficient should be known a priori for the signal of interest. This requirement puts strict limitation to the implementation of this beamformer. We therefore in this paper propose a robust approach to the optimal WL MVDR beamformer that can deal with the uncertainties in the ASV and noncircularity coefficient. Two variants of the proposed approach are developed based on the treatment of the uncertainties. By doing so, the requirement on the exact information is relaxed while the performance improvement can still be obtained. Simulation studies are also provided to illustrate the performance of the proposed approach.
Year
DOI
Venue
2012
10.1109/ICASSP.2012.6288447
ICASSP
Keywords
Field
DocType
signal noncircularity coefficient,robust approach,robust beamforming,mvdr,optimum widely linear mvdr beamformer,array processing,conventional mvdr beamformer,received signals,array signal processing,widely linear minimum variance distortionless response,array steering vector,optimum wl mvdr beamformer,widely linear,vectors,uncertainty,interference,signal to noise ratio,robustness
Minimum-variance unbiased estimator,Array processing,Computer science,A priori and a posteriori,Robustness (computer science),Signal of interest,Interference (wave propagation),Artificial intelligence,Pattern recognition,Signal-to-noise ratio,Algorithm,Speech recognition,Performance improvement
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4673-0044-5
978-1-4673-0044-5
5
PageRank 
References 
Authors
0.47
6
3
Name
Order
Citations
PageRank
Guohua Wang1212.70
Joni Polili Lie2637.43
Chong Meng Samson See317519.41