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Robust Adaptive Beamforming Using Worst-Case SINR...
Conference

Robust Adaptive Beamforming Using Worst-Case SINR Optimization: A New Diagonal Loading-Type Solution for General-Rank Signal Models

Abstract

The performance of adaptive beamforming methods may degrade in the presence of even slight mismatches between the actual and presumed array responses to the desired signal. This paper addresses the problem of robust adaptive beamforming in the presence of unknown arbitrary (yet norm-bounded) mismatches of such type as well as interference-plus-noise covariance matrix mismatch. Our approach is developed for the case of an arbitrary dimension of …

Authors

Shahbazpanahi S; Gershman AB; Luo Z-Q; Wong KM

Volume

5

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 1, 2003

DOI

10.1109/icassp.2003.1199945

Name of conference

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).