JIN Wei1, ZHAO Jian-xun2, ZHANG Feng-gan2, JIA Wei-min1, YAO Min-li2
1. Elementary Command College, Rocket Force University of Engineering, Xi'an, Shaanxi 710025, China;
2. Department of Information Engineering, Rocket Force University of Engineering, Xi'an, Shaanxi 710025, China
Abstract：To effectively overcome the influence of model mismatch on the performance of adaptive beamformer,a modified iterative robust adaptive beamformer is proposed.Based on the integration of steering vector within or without the angular sector of desired signal's direction of arrival (DOA),a new stopping criterion is constructed in the proposed algorithm.Using the new stopping criterion,the weak robustness against stopping criterion parameter in iterative diagonally loaded sample matrix inverse (ILSMI) robust adaptive beamformer is strengthened,and the output signal-to-interference-and-noise ratio (SINR) is improved obviously.Simulation results show that the proposed algorithm can effectively improve the robustness of beamformer against different types of model mismatch.Moreover,the proposed algorithm can deal with DOA mismatch in large region,and the robustness against the angular sector of DOA is quite strong.
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2017, Vol. 45 
