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http://dx.doi.org/10.7776/ASK.2014.33.6.420

An Enhanced Affine Projection Sign Algorithm in Impulsive Noise Environment  

Lee, Eun Jong (강원대학교 전자공학과)
Chung, Ik Joo (강원대학교 전자공학과)
Abstract
In this paper, we propose a new affine projection sign algorithm (APSA) to improve the convergence speed of the conventional APSA which has been proposed to enable the affine projection algorithm (APA) to operate robustly in impulsive noise environment. The conventional APSA has two advantages; it operates robustly against impulsive noise and does not need calculation for the inverse matrix. The proposed algorithm also has the conventional algorithm's advantages and furthermore, better convergence speed than the conventional algorithm. In the conventional algorithm, each input signal is normalized by $l_2$-norm of all input signals, but the proposed algorithm uses input signals normalized by their corresponding $l_2$-norm. We carried out a performance comparison of the proposed algorithm with the conventional algorithm using a system identification model. It is shown that the proposed algorithm has the faster convergence speed than the conventional algorithm.
Keywords
Affine projection algorithm; Affine projection sign algorithm; Impulsive noise;
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