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In this paper, a novel beamformer for adaptive combina- tion of two adaptive fllters is proposed for interference mitigation of sensor array. The proposed approach adaptively combines two indi- vidual fllters by coe-cient weights vector instead of one scale param- eter and takes the constraint of a-ne combination into consideration rather than previous studies. Due to the more degrees of freedom ofiered by the mixing vector, the proposed beamformer signiflcantly improves the convergence and tracking performances of the combined fllter under both stationary and non-stationary environments, respec- tively. Based on the generalized sidelobe canceller (GSC) structure, the optimal mixing vector is derived by Lagrange method, and then several new efiective iterative algorithms are developed for its updat- ing in practical implementation. Furthermore, theoretical discussions of the convergent performances and complexities of the proposed it- erative algorithms are also investigated to verify the feasibility of the proposed beamformer. Moreover, the proposed methods in applica- tion of beamforming for interference mitigation of antenna array are simulated based space-time processing technique. When compared to existing methods, the proposed approach exhibits faster convergence rate and higher output signal to interference plus noise ratio (SINR). Its good behavior is illustrated through simulation results.

A MIXING VECTOR BASED AN AFFINE COMBINATION OF TWO ADAPTIVE FILTERS FOR SENSOR ARRAY BEAMFORMING