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《Acta Electronica Sinica》 2017-08
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A Variable Regularization Matrix for the Improved Multiband-Structured Subband Adaptive Filter

YAN Zhen-hai;YANG Fei-ran;YANG Jun;Key Laboratory of Noise and Vibration Research,Institute of Acoustics,Chinese Academy of Sciences;University of Chinese Acaderny of Sciences;  
The conflict between fast convergence rate and small steady-state misadjustment is a problem of the improved multiband-structured subband adaptive filter( IMSAF) algorithm with a fixed regularization factor. Based on the principle of minimizing the system noise,the power of the subband posteriori error is assumed to equal the power of the subband noise. Under this assumption a variable regularization matrix for the IMSAF algorithm is proposed to solve this problem. Simulation results showthat the proposed method is superior to the IMSAF algorithm in terms of convergence rate,steady-state misadjustment and tracking capability.
【Fund】: 国家自然科学基金(No.61501449 No.11404367);; 中国科学院先导专项项目(No.XDA06040501)
【CateGory Index】: TN713;TN911.7
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