Paper Info
Title
An Improved Design Of Robust Adaptive Beamforming Based On Steering Vector Estimation
Abstract
Consider an optimal design problem of robust adaptive beamforming of minimum variance distortionless response, based on estimation of steering vector. The optimal beamformer is obtained by computing the sample matrix inverse and an optimal estimate of the desired signal steering vector. The common criteria to select a best estimate include high performance in terms of output signal-to-noise-plus-interference ratio (SINR) and array output power, but less prior knowledge. However there is often a trade-off between the two criteria. Herein, in order to find an optimal steering vector estimate, a beamformer output power maximization problem is formulated subject to a double-sided norm perturbation constraint, a similarity constraint, and a quadratic constraint to guarantee the desired source direction of-arrival (DOA) to get away from the DOA region of all linear combinations of the interference steering vectors. In the new robust design, all the prior information includes some allowable error norm bounds, besides the antenna array geometry and angular sector of the desired signal. It turns out that the optimization problem is a non-convex quadratically constrained quadratic program with inhomogeneous constraints, but we show that it is still solvable, and propose how to efficiently get an optimal estimate, via a semidefinite programming relaxation technique. To validate our results, simulation examples are presented to demonstrate the improved performance of the new robust beamformer in terms of the output SINR as well as the output power.
Year
Venue
Keywords
2017
2017 IEEE 7TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP)
Robust adaptive beamforming, improved design, output SINR of beamformer, output power of beamformer, semidefinite programming relaxation, steering vector estimation
Field
DocType
Citations 
Linear combination,Adaptive beamformer,Quadratically constrained quadratic program,Control theory,Computer science,Signal-to-noise ratio,Antenna array,Optimal design,Robustness (computer science),Optimization problem
Conference
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Yongwei Huang181450.83