Analysis of Modified Adaptive Forgetting-Factor RLS-based Frequency Domain Equalization
Suchada Sitjongsataporn
Department of Electronic Engineering
Mahanakorn Institute of Innovation (MII)
Faculty of Engineering, Mahanakorn University of Technology
140 Cheumsamphan Rd., Nongchok, Bangkok, Thailand
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Piyaporn Nurarak
School of Science and Technology
Sukhothai Thammathirat Open University
9/9 Chaengwattana Rd., Nonthaburi, Thailand
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Manuscript received May 6, 2018
Revised June 16, 2018

ABSTRACT
Analysis of a new modified adaptive forgetting-factor algorithm based on the recursive least squares algorithm (RLS) is presented for frequency domain equalization (FDE). By means of mean square deviation approach, an optimal forgetting-factor scheme is proposed by using the optimal gain sequence. A modified adaptive forgetting-factor RLS-based FDE is presented with regard to an optimal forgetting-factor algorithm for orthogonal frequency division multiplexing systems. We present simulation results to compare the proposed algorithm on the basis of its performance and rate of convergence.

Keywords: Forgetting-factor, Recursive Least Squares (RLS) algorithm, adaptive algorithm, frequency domain equalization.

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