Dual-diagonal LMMSE channel estimation for OFDM systems

Nian Geng; Xiaojun Yuan; Li Ping

doi:10.1109/TSP.2012.2202112

Dual-diagonal LMMSE channel estimation for OFDM systems

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Overview

26 Scopus Citations

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Author(s)

Nian Geng
Xiaojun Yuan
Li Ping

Related Research Unit(s)

Department of Electrical Engineering

Detail(s)

Original language	English
Article number	6210399
Pages (from-to)	4734-4746
Journal / Publication	IEEE Transactions on Signal Processing
Volume	60
Issue number	9
Publication status	Published - 2012

Link(s)

DOI	DOI https://doi.org/10.1109/TSP.2012.2202112 Final Published version
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Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-84865270568&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(1302e2f5-e48e-4032-8c41-d1505cfb74c3).html

Abstract

We propose a low-complexity dual-diagonal (DD-) linear-minimum-mean-square- error (LMMSE) channel estimation algorithm for orthogonal frequency-division multiplexing (OFDM) systems involving iterative channel estimation and signal detection. Computational complexity and mean-square-error (MSE) analysis are presented to evaluate the efficiency of the proposed algorithm. A closed-form expression is derived for the asymptotic MSE of the DD-LMMSE channel estimator. Both analysis and numerical results show that DD-LMMSE performs close to the well-known LMMSE estimator with much lower complexity. © 1991-2012 IEEE.

Research Area(s)

Channel estimation, dual-diagonal LMMSE (DD-LMMSE) estimation, linear-minimum-mean-square-error (LMMSE), orthogonal frequency division multiplexing (OFDM)