Finite High Order Approximation Algorithm for Joint Frequency Tracking and Channel Estimation in OFDM Systems

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Title:	Finite High Order Approximation Algorithm for Joint Frequency Tracking and Channel Estimation in OFDM Systems
Authors:	Yen, Rainfield Y.;Liu, Hong-Yu;Tsai, Chia-Sheng
Contributors:	淡江大學化學工程與材料工程學系
Keywords:	maximum-likelihood (ML) estimation;orthogonal frequency division multiplexing (OFDM);carrier frequecy offset;channel estimation
Date:	2012-10
Issue Date:	2014-02-26 16:24:18 (UTC+8)
Publisher:	Tokyo: Denshi Jouhou Tsuushin Gakkai
Abstract:	For maximum-likelihood (ML) estimation to jointly track carrier frequency offset (CFO) and channel impulse response (CIR) in orthogonal frequency division multiplexing (OFDM) systems, we present a finite high order approximation method utilizing the MATLAB ‘roots' command on the log-likelihood function derived from the OFDM received signal, coupled with an adaptive iteration algorithm. The tracking performance of this high order approximation algorithm is found to be excellent, and as expected, the algorithm outperforms the other existing first order approximation algorithms.
Relation:	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E95.A(10), pp.1676-1682
DOI:	10.1587/transfun.E95.A.1676
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Journal Article

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