International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)

IJTEEE >> Volume 2 - Issue 4, April 2014 Edition

International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289

Performance Analysis Of RLS Over LMS Algorithm For MSE In Adaptive Filters

[Full Text]



Jay Prakash Vijay, Nitin Kumar Sharma



Index Terms: Adaptive filters, MSE (Mean Square Error), LMS (Least Mean Square), NLMS (Normalized Least Mean Square), RLS (Recursive Least Square), QR-RLS (Quadrative Recursive RLS algorithm)



Abstract: This paper presents a comparable study of different adaptive filter algorithm LMS, NLMS, RLS and QR-RLS 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 QR-RLS algorithm outperforms other remaining algorithm like LMS, NLMS and RLS algorithm.



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