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Vol. 163, Issue 1, January 2014, pp. 180-185

 

Bullet

 

Robust Diagonal Loading Algorithm for Worst-Case Performance Optimization
 

1 Xin Song, 1 Jinkuan Wang, 1 Ying Guan, 2 Feng Wang

1 Engineering Optimization and Smart Antenna Institute, Northeastern University at Qinhuangdao, 066004, China
2 State Grid Ningxia Information & Communication Company, Great Wall East Road No. 277, Xingqin District, Ningxia, 750001, China

E-mail: sxin78916@mail.neuq.edu.cn

 

Received: 14 October 2013 /Accepted: 20 November 2013 /Published: 31 January 2014

Digital Sensors and Sensor Sysstems

 

Abstract: Traditional adaptive beamforming methods are known to undergo serious performance degradation in the presence of mismatches between the assumed array response and the true array response. In this paper, we propose a robust algorithm for worst-case performance optimization which belongs to the class of diagonal loading approach, and the diagonal loading factor is computed automatically from the array observation vectors without the need of specifying any user parameters. The proposed algorithm is based on the oblique projection of the signal steering vector to mitigate the effect of noise and interference. Moreover, in order to reduce the computational cost, the weight vector is updated iteratively via the gradient descent method. The proposed algorithm provides better robustness against the signal steering vector mismatches, yields improved array output performance and has a faster convergence rate. Some simulation results are presented to compare the performance of the proposed algorithm with sample matrix inversion (SMI) algorithm.

 

Keywords: Robust adaptive beamforming, Diagonal loading, Signal steering vector mismatches, Oblique projection method, Worst-case performance optimization.

 

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