Robust adaptive beamforming with null widening under quadratic constraint

Authors:
Yunxiao Jiang
Affiliations:
Key Laboratory of Electronic Restriction of AnHui Province, Electronic Engineering Institute, Hefei, China
Venue:
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Year:
2012

Citing 3
Cited 0

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Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem

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Abstract

The adaptive beamforming algorithm can aim at the direction-of-arrival of jammer automatically. But when the antenna platform vibrates or interference moves quickly, it is possible that the mismatching occurs between adaptive weight and data due to the perturbation of the interference location. To solve these problems above, a novel algorithm for null widening is presented in this paper. By using quadratic constraint on the interference integration matrix, the proposed approach can control the depth and width of null with different user parameters, so the interferences can be suppressed effectively in such case and the robustness of this adaptive beamforming algorithm is improved. The formulas of this algorithm are deduced and the ranges of Lagrange multiplier value are computed. Simulation results show the effectiveness of the proposed algorithm.