Class of cyclic-based estimators for frequency-offset estimation of OFDM systems

Navid Lashkarian, Sayfe Kiaei

Research output: Contribution to journalArticle

93 Citations (Scopus)

Abstract

In this paper, we present a new class of blind cyclic-based estimators for carrier frequency offset and symbol-timing error estimation of orthogonal frequency-division multiplexing (OFDM) systems. The proposed approach exploits the properties of the cyclic prefix subset to reveal the synchronization parameters in the likelihood function of the received vector. In this paper, a new likelihood function for the joint timing and frequency-offset estimation is derived, which globally characterizes the estimation problem. The resulting probabilistic measure is used to develop three classes of unbiased estimators, namely, maximum-likelihood, minimum variance unbiased, and moment estimator. In comparison to the previously proposed methods, the proposed estimators in this study are computationally and statistically efficient, which makes the estimators more attractive for real-time applications. Performance of estimators is assessed by simulation for an OFDM system.

Original languageEnglish (US)
Pages (from-to)2139-2149
Number of pages11
JournalIEEE Transactions on Communications
Volume48
Issue number12
DOIs
StatePublished - Dec 2000
Externally publishedYes

Fingerprint

Orthogonal frequency division multiplexing
Error analysis
Maximum likelihood
Synchronization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

Cite this

Class of cyclic-based estimators for frequency-offset estimation of OFDM systems. / Lashkarian, Navid; Kiaei, Sayfe.

In: IEEE Transactions on Communications, Vol. 48, No. 12, 12.2000, p. 2139-2149.

Research output: Contribution to journalArticle

@article{4d492cfd2ac74349a0203fcb596aab74,
title = "Class of cyclic-based estimators for frequency-offset estimation of OFDM systems",
abstract = "In this paper, we present a new class of blind cyclic-based estimators for carrier frequency offset and symbol-timing error estimation of orthogonal frequency-division multiplexing (OFDM) systems. The proposed approach exploits the properties of the cyclic prefix subset to reveal the synchronization parameters in the likelihood function of the received vector. In this paper, a new likelihood function for the joint timing and frequency-offset estimation is derived, which globally characterizes the estimation problem. The resulting probabilistic measure is used to develop three classes of unbiased estimators, namely, maximum-likelihood, minimum variance unbiased, and moment estimator. In comparison to the previously proposed methods, the proposed estimators in this study are computationally and statistically efficient, which makes the estimators more attractive for real-time applications. Performance of estimators is assessed by simulation for an OFDM system.",
author = "Navid Lashkarian and Sayfe Kiaei",
year = "2000",
month = "12",
doi = "10.1109/26.891224",
language = "English (US)",
volume = "48",
pages = "2139--2149",
journal = "IEEE Transactions on Communications",
issn = "0090-6778",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "12",

}

TY - JOUR

T1 - Class of cyclic-based estimators for frequency-offset estimation of OFDM systems

AU - Lashkarian, Navid

AU - Kiaei, Sayfe

PY - 2000/12

Y1 - 2000/12

N2 - In this paper, we present a new class of blind cyclic-based estimators for carrier frequency offset and symbol-timing error estimation of orthogonal frequency-division multiplexing (OFDM) systems. The proposed approach exploits the properties of the cyclic prefix subset to reveal the synchronization parameters in the likelihood function of the received vector. In this paper, a new likelihood function for the joint timing and frequency-offset estimation is derived, which globally characterizes the estimation problem. The resulting probabilistic measure is used to develop three classes of unbiased estimators, namely, maximum-likelihood, minimum variance unbiased, and moment estimator. In comparison to the previously proposed methods, the proposed estimators in this study are computationally and statistically efficient, which makes the estimators more attractive for real-time applications. Performance of estimators is assessed by simulation for an OFDM system.

AB - In this paper, we present a new class of blind cyclic-based estimators for carrier frequency offset and symbol-timing error estimation of orthogonal frequency-division multiplexing (OFDM) systems. The proposed approach exploits the properties of the cyclic prefix subset to reveal the synchronization parameters in the likelihood function of the received vector. In this paper, a new likelihood function for the joint timing and frequency-offset estimation is derived, which globally characterizes the estimation problem. The resulting probabilistic measure is used to develop three classes of unbiased estimators, namely, maximum-likelihood, minimum variance unbiased, and moment estimator. In comparison to the previously proposed methods, the proposed estimators in this study are computationally and statistically efficient, which makes the estimators more attractive for real-time applications. Performance of estimators is assessed by simulation for an OFDM system.

UR - http://www.scopus.com/inward/record.url?scp=0034485203&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034485203&partnerID=8YFLogxK

U2 - 10.1109/26.891224

DO - 10.1109/26.891224

M3 - Article

AN - SCOPUS:0034485203

VL - 48

SP - 2139

EP - 2149

JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

SN - 0090-6778

IS - 12

ER -