Symbol time offset estimation in coherent OFDM systems

Daniel Landström; SK Wilson; JJ van de Beek; Per Ödling; Per Ola Börjesson

doi:10.1109/26.996067

Symbol time offset estimation in coherent OFDM systems

Daniel Landström, SK Wilson, JJ van de Beek, Per Ödling, Per Ola Börjesson

Department of Electrical and Information Technology

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Abstract

This paper presents a symbol time offset estimator for coherent orthogonal frequency division multiplexing (OFDM) systems. The estimator exploits both the redundancy in the cyclic prefix and available pilot symbols used for channel estimation. The estimator is robust against frequency offsets and is suitable for use in dispersive channels. We base the estimator on the maximum-likelihood estimator for the additive white Gaussian noise channel. Simulations for an example system indicate a system performance as close as 0.6 dB to a perfectly synchronized system.

Original language	English
Pages (from-to)	545-549
Journal	IEEE Transactions on Communications
Volume	50
Issue number	4
DOIs	https://doi.org/10.1109/26.996067
Publication status	Published - 2002

Subject classification (UKÄ)

Electrical Engineering, Electronic Engineering, Information Engineering

Free keywords

delay estimation
communication system
multicarrier
frequency division multiplexing (OFDM)
orthogonal
synchronization
time estimation

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10.1109/26.996067

symbol00996067

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title = "Symbol time offset estimation in coherent OFDM systems",

abstract = "This paper presents a symbol time offset estimator for coherent orthogonal frequency division multiplexing (OFDM) systems. The estimator exploits both the redundancy in the cyclic prefix and available pilot symbols used for channel estimation. The estimator is robust against frequency offsets and is suitable for use in dispersive channels. We base the estimator on the maximum-likelihood estimator for the additive white Gaussian noise channel. Simulations for an example system indicate a system performance as close as 0.6 dB to a perfectly synchronized system.",

keywords = "delay estimation, communication system, multicarrier, frequency division multiplexing (OFDM), orthogonal, synchronization, time estimation",

author = "Daniel Landstr{\"o}m and SK Wilson and {van de Beek}, JJ and Per {\"O}dling and B{\"o}rjesson, {Per Ola}",

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T1 - Symbol time offset estimation in coherent OFDM systems

AU - Landström, Daniel

AU - Wilson, SK

AU - van de Beek, JJ

AU - Ödling, Per

AU - Börjesson, Per Ola

PY - 2002

Y1 - 2002

N2 - This paper presents a symbol time offset estimator for coherent orthogonal frequency division multiplexing (OFDM) systems. The estimator exploits both the redundancy in the cyclic prefix and available pilot symbols used for channel estimation. The estimator is robust against frequency offsets and is suitable for use in dispersive channels. We base the estimator on the maximum-likelihood estimator for the additive white Gaussian noise channel. Simulations for an example system indicate a system performance as close as 0.6 dB to a perfectly synchronized system.

AB - This paper presents a symbol time offset estimator for coherent orthogonal frequency division multiplexing (OFDM) systems. The estimator exploits both the redundancy in the cyclic prefix and available pilot symbols used for channel estimation. The estimator is robust against frequency offsets and is suitable for use in dispersive channels. We base the estimator on the maximum-likelihood estimator for the additive white Gaussian noise channel. Simulations for an example system indicate a system performance as close as 0.6 dB to a perfectly synchronized system.

KW - delay estimation

KW - communication system

KW - multicarrier

KW - frequency division multiplexing (OFDM)

KW - orthogonal

KW - synchronization

KW - time estimation

U2 - 10.1109/26.996067

DO - 10.1109/26.996067

M3 - Article

SN - 0090-6778

VL - 50

SP - 545

EP - 549

JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

IS - 4

ER -

Symbol time offset estimation in coherent OFDM systems

Abstract

Subject classification (UKÄ)

Free keywords

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