Browse > Article

Deterministic Function Variable Step Size LMS Algorithm  

Woo, Hong-Chae (대구대학교)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.12, no.2, 2011 , pp. 128-132 More about this Journal
Abstract
Least mean square adaptive algorithms have played important role in radar, sonar, speech processing, and mobile communication. In mobile communication area, the convergence rate of a LMS algorithm is quite important. However, LMS algorithms have slow and non-uniform convergence rate problem For overcoming these shortcomings, various variable step LMS adaptive algorithms have been studied in recent years. Most of these recent LMS algorithms have used complex variable step methods to get a rapid convergence. But complex variable step methods need a high computational complexity. Therefore, the main merits such as the simplicity and the robustness in a LMS algorithm can be eroded. The proposed deterministic variable step LMS algorithm is based upon a simple deterministic function for the step update so that the simplicity of the proposed algorithm is obtained and the fast convergence is still maintainable.
Keywords
LMS; Adaptive filter; Computational complexity; Simplicity;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Tyseer Aboulnasr and K, Mayyas, "A robust variable step-size LMS-type algorithm: analysis and simulations," IEEE Trans. on Signal Processing, vol. 45, no. 3, pp. 631-639, Mar, 1997.   DOI   ScienceOn
2 D. I. Pazaitis and A. G. Constantinides, "A novel kurtosis driven variable step-size adaptive algorithm," IEEE Transactions on Signal Processing, vol. 47, no. 3, pp. 864-872, 1999.   DOI   ScienceOn
3 Hyun C. Shin, A. H. Sayed, and Woo.J. Song, "Variable step-size NLMS and affine projection algorithms," IEEE Signal Processing Letters, vol. 11, no. 2, pp. 132-135, 2004.   DOI   ScienceOn
4 Khaled F. Abusalem, Yu Gong, Variabe step LMS algorithm using the accumulated instantaneous error concept," Proceedings of the World Congress on Engineering, vol. 1, 2008.
5 Yonggang Zhang, Ning Li, Jonathon A. Chambers, and Yanling Hao, "New gradient-based variable step size LMS algorithms," EURASIP journal on advances in signal processin. 2008.
6 S. Haykin, Adaptive filter theory, Prentice Hall Upper Saddle River, NJ, 2002.
7 R. H. Kwong and E. W. Johnstone, "A variable step size LMS algorithm," IEEE Trans. on Signal Processing, vol. 40, pp. 1633-1642, Jul. 1992.   DOI   ScienceOn
8 Tarek I. Haweel, "A simple variable step size LMS adaptive algorithm," Int. J. Circ. Theor. Appl., vol. 32, pp. 523-536, 2004   DOI   ScienceOn
9 V. J. Mathews and Z. Xie, "A stochastic gradient adaptive filter with gradient adaptive step-size," IEEE Transactions on Signal Processing, vol. 41, no. 6, pp. 2075-2087, 1993.   DOI   ScienceOn