A variable step-size LMS algorithm based on cloud model with application to multiuser interference cancellation

Authors:
Wen He;Deyi Li;Guisheng Chen;Songlin Zhang
Affiliations:
Department of Computer Science and Technology, Tsinghua University, Beijing, China and Xi'an Communication Institute, Xi'an, China;Institute of China Electronic System Engineering, Beijing, China;Institute of China Electronic System Engineering, Beijing, China;Institute of China Electronic System Engineering, Beijing, China and PLA University of Science and Technology, Nanjing, China
Venue:
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Year:
2010

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Abstract

This paper presents a variable step-size Least Mean Square (LMS) algorithm based on cloud model which is a new cognitive model for uncertain transformation between linguistic concepts and quantitative values. In this algorithm, we use the error differences between two adjacent iteration periods to qualitatively estimate the state of the algorithm, and translate it into a propriety step-size in number according to the linguistic description of basic principle of variable step-size LMS. Simulation results show that the proposed algorithm is able to improve the steady-state performance while keeping a better convergence rate. We also apply this new algorithm to the multiuser interference cancellation, and results are also satisfied.