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http://dx.doi.org/10.6109/jkiice.2022.26.3.443

Individual Variable Step-Size Subband Affine Projection Algorithm  

Choi, Hun (Department of Electronic Engineering, Dong-Eui University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.3, 2022 , pp. 443-448 More about this Journal
Abstract
This paper presents a subband affine projection algorithm with variable step size to improve convergence performance in adaptive filtering applications with long adaptive filters and highly correlated input signals. The proposed algorithm can obtain fast convergence speed and small steady-state error by using different step sizes for each adaptive sub-filter in the subband structure to which polyphase decomposition and noble identity are applied. The step size derived to minimize the mean square error of the adaptive filter at each update time shows better convergence performance than the existing algorithm using a variable step size. In order to confirm the convergence performance of the proposed algorithm, which is superior to the existing algorithm, computer simulations are performed for mean square deviation(MSD) for AR(1) and AR(2) colored input signals considering the system identification model.
Keywords
Adaptive filtering; Subband filtering; Affine projection algorithm; Variable step size; Mean square deviation;
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Times Cited By KSCI : 1  (Citation Analysis)
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