Adaptive Beamforming Using Affine Projection Algorithms
نویسنده
چکیده
The dynamic adaptive Linear Constrained Mininium Variance (LCMV) beamformer generally uses the Normalized LMS (NLMS) algorithm for its robustness a.nd simplicity, but it suffers froin a. low convergence rat,e. This paper proposes a.n alternative beamformer incorporating a siniplifiecl Fast Affine Projection (FAP) a.lgorit,hin, which provides fast, convergence speed and low compnta.tiona1 complexity. Tlie family of Affine Projection (AP) algorithms improves its convergence speed significa.ntly due to its decorrelation property. We compare the decorrelation properby of the AP algorithms to that of the Spatial Smoot,liing algorit,Iim. The funda.nienta1 difference bet.wcien (.lie t,wo decorrelafion properties is clarified.
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