A Robust Variable Step Size Fractional Least Mean Square (RVSS-FLMS) Algorithm
Optimization and Control
2017-11-15 v1 Information Theory
math.IT
Statistics Theory
Statistics Theory
Abstract
In this paper, we propose an adaptive framework for the variable step size of the fractional least mean square (FLMS) algorithm. The proposed algorithm named the robust variable step size-FLMS (RVSS-FLMS), dynamically updates the step size of the FLMS to achieve high convergence rate with low steady state error. For the evaluation purpose, the problem of system identification is considered. The experiments clearly show that the proposed approach achieves better convergence rate compared to the FLMS and adaptive step-size modified FLMS (AMFLMS).
Cite
@article{arxiv.1711.04973,
title = {A Robust Variable Step Size Fractional Least Mean Square (RVSS-FLMS) Algorithm},
author = {Shujaat Khan and Muhammad Usman and Imran Naseem and Roberto Togneri and Mohammed Bennamoun},
journal= {arXiv preprint arXiv:1711.04973},
year = {2017}
}
Comments
15 pages, 3 figures, 13th IEEE Colloquium on Signal Processing & its Applications (CSPA 2017)