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On the performance of CP based exponentially weighted block RLS channel estimation algorithm for OFDM systems

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conference contribution
posted on 2025-05-11, 22:46 authored by Ali Hassan, Ling E. Pooh
Cyclic prefix (CP) based block recursive least squares (RLS) channel estimation algorithms have been proposed for orthogonal frequency division multiplexing (OFDM) systems. In this paper, we investigate the performance of CP based exponentially weighted block RLS channel estimator. Our analysis and extensive simulation results show that smaller values of exponential forgetting weightings cause increase in convergence time and steady state performance error of the algorithm. Furthermore, performance of the approach degrades with the increase in channel nulls and constellation size.

History

Source title

Proceedings of the IEEE Pacific Rim Conference on Communications, Computers and Signal Processing 2009, PACRIM 2009

Name of conference

IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 2009 (PACRIM 2009)

Location

Victoria, Canada

Start date

2009-06-23

End date

2009-06-26

Pagination

135-139

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Place published

Piscataway, NJ

Language

  • en, English

College/Research Centre

Faculty of Engineering and Built Environment

School

School of Electrical Engineering and Computer Science

Rights statement

Copyright © 2009 IEEE. Reprinted from the Proceedings of the IEEE Pacific Rim Conference on Communications, Computers and Signal Processing 2009, PACRIM 2009. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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