多带结构自适应滤波器的变步长矩阵设计

doi:10.3969/j.issn.1001-2400.2015.04.033

Abstract

Abstract:

In order to improve the convergence performance of the normalised sign subband adaptive filter (NSSAF), variable step-size matrix normalised sign subband adaptive filter (VSSM-NSSAF) based on the variable multiband structure is proposed. In this method, the energy of the subband posteriori error vector is treated as the cost function and the variable step size matrix as a variable. By solving the optimal step length for each subband to minimize the cost function after each iteration calculation, the best variable step size matrix is obtained. Then we employ the following time-average scheme to get the variable step-size matrix before the next iteration. Compared with the traditional NSSAF algorithm and other improved NSSAF algorithms, the proposed algorithm provides a faster convergence speed and lower steady state misadjustment, regardless of whether the input signal is relevant or not, even if it contains impulse noise. Besides, this method has the advantages of a low computational complexity.

Key words: subband adaptive filter , multiband structured, varity step-size, sign adaptive filter

QI Xiaohui;WU Ying;WANG Yunlong. Variable step-size matrix adaptive filter design based on the multiband structured[J].J4, 2015, 42(4): 198-204.

References

［1］ Widrow B, Stearns S D. Adaptive Signal Processing［M］. Cliffs: Prentice-Hall, 1985.
［2］ Lee K A, Gan W S, Kuo S M. Subband Adaptive Filtering: Theory and Implementation［M］. Chichester: John Wiley & Sons, 2009.
［3］ Shin J, Kong N, Park P. Normalised Subband Adaptive Filter with Variable Step Size［J］. Electronics Letters, 2012, 48(4): 204–206.
［4］ Ni J, Li F. A Variable Step-size Matrix Normalized Subband Adaptive Filter［J］. IEEE Transactions on Audio, Speech and Language Processing, 2010,18(6): 1290–1299.
［5］ Shin J W, Yoo J W, Park P G. Variable Step-size Sign Subband Adaptive Filter［J］. IEEE Signal Processing Letters, 2013, 20(2): 173-176.
［6］ Kim J H, Chang J H, Nam S W. Sign Subband Adaptive Filter with l₁-norm Minimisation-based Variable Step-size［J］. Electronics Letters, 2013, 49(21): 1325 -1326.
［7］ Ni J G, Chen X P, Yang J. Two Variants of the Sign Subband Adaptive Filter with Improved Convergence Rate［J］. Signal Processing, 2014, 96: 325 - 331.
［8］ Shao T, Zheng Y R, Benesty J. An Affine Projection Sign Algorithm Robust Against Impulsive Interferences［J］. IEEE Signal Processing Letters, 2010, 17(4): 327 – 330.
［9］ Ni J, Li, F. Variable Regularization Parameter Sign Subband Adaptive Filter［J］. Electronics Letters, 2010, 46(24): 1605 -1607.
［10］ Benesty J, Gay S L. An Improved PNLMS Algorithm［C］//Proceedings of the International Conference on Acoustics, Speech and Signal Processing: 2. Piscataway: IEEE, 2002: 1881-1884.
［11］吴炜, 常义林, 高慧. 一种用于自适应噪声对消器的改进LMS算法［J］. 西安电子科技大学学报, 2001, 28(4): 532-535.
Wu Wei, Chang Yilin, Gao Hui. A Modified LMS Algorithm for an Adaptive Noise Canceller［J］.Journal of Xidian University, 2001, 28(4): 532-535.

Variable step-size matrix adaptive filter design based on the multiband structured

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