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Variable Step LMS Algorithm using Fibonacci Sequence  

Woo, Hong-Chae (School of Computer and Communication Engineering, Daegu University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.19, no.2, 2018 , pp. 42-46 More about this Journal
Abstract
Adaptive signal processing is quite important in various signal and communication environments. In adaptive signal processing methods since the least mean square(LMS) algorithm is simple and robust, it is used everywhere. As the step is varied in the variable step(VS) LMS algorithm, the fast convergence speed and the small excess mean square error can be obtained. Various variable step LMS algorithms are researched for better performances. But in some of variable step LMS algorithms the computational complexity is quite large for better performances. The fixed step LMS algorithm with a low computational complexity merit and the variable step LMS algorithm with a fast convergence merit are combined in the proposed sporadic step algorithm. As the step is sporadically updated, the performances of the variable step LMS algorithm can be maintained in the low update rate using Fibonacci sequence. The performances of the proposed variable step LMS algorithm are proved in the adaptive equalizer.
Keywords
Adaptive Signal Processing; Variable Step LMS; Adaptive Equalizer; Fibonacci Sequence; Computational Complexity;
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