An Inner SOCP Approximate Algorithm for Robust Adaptive Beamforming for General-Rank Signal Model

The worst-case robust adaptive beamforming problem for general-rank signal model is considered. Its formulation is to maximize the worst-case signal-to-interference-plus-noise ratio, incorporating a positive semidefinite constraint on the actual covariance matrix of the desired signal. In the litera...

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Bibliographic Details
Published in:	IEEE signal processing letters Vol. 25; no. 11; pp. 1735 - 1739
Main Authors:	Yongwei Huang, Vorobyov, Sergiy A.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.11.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptation models Adaptive algorithms Algorithms Approximation algorithms Array signal processing Beamforming Computer simulation Convergence Covariance matrices Covariance matrix General-rank signal model inner approximation Mathematical analysis Matrix methods robust adaptive beamforming Robustness second-order cone program Signal processing algorithms Signal to noise ratio
ISSN:	1070-9908, 1558-2361
Online Access:	Get full text
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