Performance Analysis Of RLS Over LMS Algorithm For MSE In Adaptive Filters
[Full Text]
AUTHOR(S)
Jay Prakash Vijay, Nitin Kumar Sharma
KEYWORDS
Index Terms: Adaptive filters, MSE (Mean Square Error), LMS (Least Mean Square), NLMS (Normalized Least Mean Square), RLS (Recursive Least Square), QRRLS (Quadrative Recursive RLS algorithm)
ABSTRACT
Abstract: This paper presents a comparable study of different adaptive filter algorithm LMS, NLMS, RLS and QRRLS applied in minimization of MSE. In this paper we considered two kinds of scenarios for analyzing their performance. The RLS algorithm has faster convergence speed/rate than LMS algorithms with better robustness to changeable environment and better tracking capability. As well as the MSE curve shows that QRRLS algorithm outperforms other remaining algorithm like LMS, NLMS and RLS algorithm.
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