A generalized semi-blind channel estimation for pilot-aided OFDM systems

K. Y. Ho; S. H. Leung

doi:10.1109/ISCAS.2005.1466028

A generalized semi-blind channel estimation for pilot-aided OFDM systems

K. Y. Ho, S. H. Leung

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

5 Citations (Scopus)

Abstract

In this paper, a new semi-blind channel estimation method for orthogonal frequency division multiplexing (OFDM) is presented. A deterministic frequency domain objective function for an OFDM frame is defined, which contains a sum of squared error for the pilot signals and a sum of weighted squared generalized magnitude error for data signals. It is found that the sum of squared absolute magnitude error for data signals, as a special case of the generalized term, provides an excellent block mean square error. An efficient iterative algorithm for obtaining an optimal solution is derived, that takes several iterations to converge to the steady state solution. The new algorithm is shown to provide a better performance gain than other pilot-based channel estimation methods and semi-blind method. © 2005 IEEE.

Original language	English
Article number	1466028
Pages (from-to)	6086-6089
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
DOIs	https://doi.org/10.1109/ISCAS.2005.1466028
Publication status	Published - 2005
Event	IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan Duration: 23 May 2005 → 26 May 2005

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title = "A generalized semi-blind channel estimation for pilot-aided OFDM systems",

abstract = "In this paper, a new semi-blind channel estimation method for orthogonal frequency division multiplexing (OFDM) is presented. A deterministic frequency domain objective function for an OFDM frame is defined, which contains a sum of squared error for the pilot signals and a sum of weighted squared generalized magnitude error for data signals. It is found that the sum of squared absolute magnitude error for data signals, as a special case of the generalized term, provides an excellent block mean square error. An efficient iterative algorithm for obtaining an optimal solution is derived, that takes several iterations to converge to the steady state solution. The new algorithm is shown to provide a better performance gain than other pilot-based channel estimation methods and semi-blind method. {\textcopyright} 2005 IEEE.",

author = "Ho, {K. Y.} and Leung, {S. H.}",

year = "2005",

doi = "10.1109/ISCAS.2005.1466028",

language = "English",

pages = "6086--6089",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

publisher = "IEEE",

note = "IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 ; Conference date: 23-05-2005 Through 26-05-2005",

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TY - JOUR

T1 - A generalized semi-blind channel estimation for pilot-aided OFDM systems

AU - Ho, K. Y.

AU - Leung, S. H.

PY - 2005

Y1 - 2005

N2 - In this paper, a new semi-blind channel estimation method for orthogonal frequency division multiplexing (OFDM) is presented. A deterministic frequency domain objective function for an OFDM frame is defined, which contains a sum of squared error for the pilot signals and a sum of weighted squared generalized magnitude error for data signals. It is found that the sum of squared absolute magnitude error for data signals, as a special case of the generalized term, provides an excellent block mean square error. An efficient iterative algorithm for obtaining an optimal solution is derived, that takes several iterations to converge to the steady state solution. The new algorithm is shown to provide a better performance gain than other pilot-based channel estimation methods and semi-blind method. © 2005 IEEE.

AB - In this paper, a new semi-blind channel estimation method for orthogonal frequency division multiplexing (OFDM) is presented. A deterministic frequency domain objective function for an OFDM frame is defined, which contains a sum of squared error for the pilot signals and a sum of weighted squared generalized magnitude error for data signals. It is found that the sum of squared absolute magnitude error for data signals, as a special case of the generalized term, provides an excellent block mean square error. An efficient iterative algorithm for obtaining an optimal solution is derived, that takes several iterations to converge to the steady state solution. The new algorithm is shown to provide a better performance gain than other pilot-based channel estimation methods and semi-blind method. © 2005 IEEE.

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-34547352565&origin=recordpage

U2 - 10.1109/ISCAS.2005.1466028

DO - 10.1109/ISCAS.2005.1466028

M3 - RGC 22 - Publication in policy or professional journal

SN - 0271-4310

SP - 6086

EP - 6089

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

M1 - 1466028

T2 - IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

Y2 - 23 May 2005 through 26 May 2005

ER -

A generalized semi-blind channel estimation for pilot-aided OFDM systems

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