A Comparison Between Recursive Least-Squares (RLS) and Extended Recursive Least-Squares (E-RLS) for Tracking Multiple Fast Time Variation Rayleigh Fading Channel

  • Ali Salah Mahdi Department of Information and Communication Engineering/ Al-Khawarizmi College of Engineering/ University of Baghdad
Keywords: RLS algorithm, E-RLS algorithm, Rayleigh fading channels

Abstract

In order to select the optimal tracking of fast time variation of multipath fast time variation Rayleigh fading channel, this paper focuses on the recursive least-squares (RLS) and Extended recursive least-squares (E-RLS) algorithms and reaches the conclusion that E-RLS is more feasible according to the comparison output of the simulation program from tracking performance and mean square error over five fast time variation of Rayleigh fading channels and more than one time (send/receive) reach to 100 times to make sure from efficiency of these algorithms.

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Published
2017-12-13
How to Cite
Mahdi, A. (2017). A Comparison Between Recursive Least-Squares (RLS) and Extended Recursive Least-Squares (E-RLS) for Tracking Multiple Fast Time Variation Rayleigh Fading Channel. Al-Khwarizmi Engineering Journal, 12(1), 73- 78. Retrieved from https://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/285
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Articles