An Adaptive Narrow-Band Filter with Variable Step

Da Ming Wang; Jian Hui Wang; Wei Jia Cui; Xu Hui Yang

doi:10.4028/www.scientific.net/AMM.644-650.4103

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650An Adaptive Narrow-Band Filter with Variable Step

An Adaptive Narrow-Band Filter with Variable Step

Abstract:

LMS algorithm is a kind of classic adaptive algorithms. Although it has the virtue of simple operation, it also shows the defects of relatively slow convergence and big steady state errors in low SNR. To remedy these defects, this paper put forward a new variable steps adaptive LMS algorithm. In the transient state, the learning rate increases slowly with the iteration times which accelerate the convergence rate of LMS algorithm. In the steady state, the learning rate decreases gradually with the iteration times which guarantee the convergence accuracy of LMS algorithm. After this improved algorithm is applied in the design of adaptive wavetrap, the simulation results show that it can not only effectively ease up the conflicts between convergence rates and steady state errors, but also improve the performance of wavetrap in real-time trapping.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4103-4106

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4103

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Online since:

September 2014

Authors:

Da Ming Wang*, Jian Hui Wang, Wei Jia Cui, Xu Hui Yang

Keywords:

Adaptive Algorithm, Adaptive Wavetrap, LMS Algorithm, Variable Step

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References

[1] WANG Bing, WANG Kui, LIANG Xiaolin and WANG Baixiang, Comprehensive Study on Removal of Power Line Interference in EEG, CHINESE JOURNAL OF SENSORS AND ACTUATORS , 2010, vol. 23(1), pp : 87-92.

Google Scholar

[2] TAN Weifeng, FENG Liqiang and WANG Bing. Study on Effect of Notch Filters in Pseudo Code Tracking Loop and Corresponding Improvement Methods, CHINESE JOURNAL OF ASTRONAUTICS , 2010, vol. 31(03) , pp: 811-816.

Google Scholar

[3] Lei Zhenyu, Hu Zhenyu, Hu Guangrui and Sun Liping. A New Variable Step-Size LMS-Like Algorithm for a Second-Order Adaptive IIR Notch Filter,. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY . 2003, Vol. 37(10).

Google Scholar

[4] LUO Xiaodong, JIA Zhenghong and WANG Qiang, A New Variable Step Size LMS Adaptive Filtering Algorithm, ACTA ELECTRONICA SINICA 2006, vol. 34(6).

Google Scholar

[5] Darken, C. and Moody, J , Towards faster stochastic gradient search, in Moody, J.E., Hanson, S.J., and Lippmann, R.P., Advances inNeural Information Processing Systems 4, 1992, pp: 1009-1016.

Google Scholar

[6] Harris R W, Chabries D M and Bishop F A, A variable step (VS) adaptive filter algorithm, IEEE Trans. Acoust., Speech, Signal Processing, 1986, vol. 34, pp: 309-316.

DOI: 10.1109/tassp.1986.1164814

Google Scholar