APSIPA Transactions on Signal and Information Processing > Vol 8 > Issue 1

Robust adaptive beamforming with enhancing the interference suppression capability

Linxian Liu, Wuhan College of Foreign Languages and Foreign Affairs, China, 750900806@qq.com , Yang Li, Wuhan Institute of Technology, China
 
Suggested Citation
Linxian Liu and Yang Li (2019), "Robust adaptive beamforming with enhancing the interference suppression capability", APSIPA Transactions on Signal and Information Processing: Vol. 8: No. 1, e15. http://dx.doi.org/10.1017/ATSIP.2019.9

Publication Date: 13 Jun 2019
© 2019 Linxian Liu and Yang Li
 
Subjects
 
Keywords
Robust adaptive beamformingSteering vector errorInterference suppressionArray signal processing
 

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This is published under the terms of the Creative Commons Attribution licence.

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In this article:
I. INTRODUCTION 
II. PROBLEM FORMULATION 
III. THE PROPOSED BEAMFORMER 
IV. SIMULATION EXAMPLES 
V. CONCLUSION 

Abstract

The steering vector mismatch causes signal self-nulling for adaptive beamforming when the training data contain the desired signal component. To prevent signal self-nulling, many beamformers use robust technology, which is usually equivalent to the diagonal loading approach. Unfortunately, the diagonal loading approach achieves better signal enhancement at the cost of losing its interference suppression capability, especially at high input signal-to-noise ratio. In this paper, a novel robust adaptive beamforming method is developed to improve the interference suppression capability. The proposed beamformer is based on the worst-case performance optimization technology with a new estimated steering vector and a special set parameter. Firstly, a subspace which is orthogonal to the interference's steering vector is obtained by using the interference-plus-noise covariance matrix; then a new steering vector which is orthogonal to each interference's steering vector is estimated; finally, the beamformer's weight is solved with the worst-case performance optimization technology with a special set parameter. Theoretical analysis of the interference suppression principle is analyzed in detail, and some simulation results are presented to evaluate the performance of the proposed beamformer.

DOI:10.1017/ATSIP.2019.9