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PIER PIER B PIER C PIER M PIER Letters
2011-11-29
A Mixing Vector Based an Affine Combination of Two Adaptive Filters for Sensor Array Beamforming
By
Songtao Lu,

    Dr. Songtao Lu

    Department of Electrical and Computer Engineering

    Iowa State University

    U.S.A.

    Homepage

Jinping Sun,

    Dr. Jinping Sun

    School of Electronic and Information Engineering

    Beihang University

    China

    Homepage

Guohua Wang,

    Dr. Guohua Wang

    School of Electrical and Electronic Engineering

    Nanyang Technological University

    Singapore

    Homepage

Yi-Long Lu

    Dr. Yi-Long Lu

    Nanyang Technological University

    Singapore 639798

    Homepage

Progress In Electromagnetics Research, Vol. 122, 361-387, 2012
doi:10.2528/PIER11090204
Abstract
In this paper, a novel beamformer for adaptive combination of two adaptive filters is proposed for interference mitigation of sensor array. The proposed approach adaptively combines two individual filters by coefficient weights vector instead of one scale parameter and takes the constraint of affine combination into consideration rather than previous studies. Due to the more degrees of freedom offered by the mixing vector, the proposed beamformer significantly improves the convergence and tracking performances of the combined filter under both stationary and non-stationary environments, respectively. Based on the generalized sidelobe canceller (GSC) structure, the optimal mixing vector is derived by Lagrange method, and then several new effective iterative algorithms are developed for its updating in practical implementation. Furthermore, theoretical discussions of the convergent performances and complexities of the proposed iterative algorithms are also investigated to verify the feasibility of the proposed beamformer. Moreover, the proposed methods in application 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.
Citation
Songtao Lu, Jinping Sun, Guohua Wang, and Yi-Long Lu, "A Mixing Vector Based an Affine Combination of Two Adaptive Filters for Sensor Array Beamforming," Progress In Electromagnetics Research, Vol. 122, 361-387, 2012.
doi:10.2528/PIER11090204
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