An Improved LMS_Newton Algorithm and its Analysis

Rui Mei Lian

doi:10.4028/www.scientific.net/AMM.130-134.458

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 130-134An Improved LMS_Newton Algorithm and its Analysis

An Improved LMS_Newton Algorithm and its Analysis

Abstract:

An amended LMS Newton algorithm is proposed which create the nonlinear functional relation of the step factor μ and the error signal e (n). And the next we discuss the factors in the amended algorithm and the performance in the different IP environment. The algorithm is simple and easy to be implemented, Theoretical analysis and computer simulation show that the properties of the algorithm such as convergence speed, and steady state error ate better than those of SVSLMS algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 130-134)

Pages:

458-462

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.130-134.458

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Online since:

October 2011

Authors:

Rui Mei Lian

Keywords:

Adaptive Filtering Algorithm, Convergence Speed, LMS Newton Algorithm, Stability, Variable Step Size

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References

[1] YASUKAWA H, SHIMADA I. Acoustic echo canceller with high speech quality[A]. ICASSP[C]. 1987: 2125-2128.

Google Scholar

[2] RAYMOND H K, EDWARD W J. A variable step size LMS algorithm [J]. IEEE Transactions on Signal Processing, 1992, 40: 1633-1642.

DOI: 10.1109/78.143435

Google Scholar

[3] Ying GAO; Sheng-li XIE. A Variable Step Size LMS Adaptive Filtering Algorithm and Its Analysis [J]. Acta Electronica Sinica, 2001, 29: 1094-1097.

Google Scholar

[4] SHAN T J, KAILAITH T J. Adaptive algorithm with an automatic gain control feature [J]. IEEE Transactions On Circuits and Systems, 1988, 35: 122-l27.

DOI: 10.1109/31.1709

Google Scholar

[5] Jingfan Qin; Jingzheng Ouyang . A Novel Variable Step Size LMS Adaptive Filtering Algorithm Based on Sigmoid Function [J]. JOURNAL OF DATA ACQUISITION & PROCESSING, 1997, 12：171-174.

Google Scholar

[6] Kwonn R, Johnston E W. A Variable Step Size LMS Algorithm[J]. IEEE Trans. on Signal Processing, 1992, 40(7): 1633-1642.

DOI: 10.1109/78.143435

Google Scholar

[7] Tyseer Aboulnaser, Mayyas K. A Robust Variable Step-size LMS-Type Algorithm Analysis and SimulAtions [J]. IEEE Trans. on Signal Processing 1997, 45(3): 631-639.

DOI: 10.1109/78.558478

Google Scholar