An EM based frequency domain channel estimation algorithm for multi-access OFDM systems

M. S. Sohail; T. Y. Al-Naffouri

doi:10.1016/j.sigpro.2009.10.026

An EM based frequency domain channel estimation algorithm for multi-access OFDM systems

M. S. Sohail, T. Y. Al-Naffouri^*

^*Corresponding author for this work

Physical Sciences and Engineering

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

Channel estimation is an important prerequisite for receiver design. In this paper we present a semi-blind low complexity frequency domain based channel estimation algorithm for multi-access Orthogonal Frequency Division Multiplexing (OFDM) systems. Our algorithm is based on eigenvalues interpolation and makes a collective use of data and channel constraints. We exploit these constraints to derive a frequency domain maximum a posteriori (MAP) channel estimator. Furthermore, we develop a data aided (expectation maximization based) estimator incorporating frequency correlation information. The estimator is further enhanced by utilizing the time correlation information through a forward backward (FB) Kalman filter. We also explore various implementation for the FB Kalman filter. The simulation results are provided validating the applicability of the proposed algorithm.

Original language	English (US)
Pages (from-to)	1562-1572
Number of pages	11
Journal	Signal Processing
Volume	90
Issue number	5
DOIs	https://doi.org/10.1016/j.sigpro.2009.10.026
State	Published - May 2010

Keywords

Channel estimation
Kalman filtering
Model reduction
Multi-access systems
OFDM

ASJC Scopus subject areas

Control and Systems Engineering
Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/j.sigpro.2009.10.026

Cite this

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title = "An EM based frequency domain channel estimation algorithm for multi-access OFDM systems",

abstract = "Channel estimation is an important prerequisite for receiver design. In this paper we present a semi-blind low complexity frequency domain based channel estimation algorithm for multi-access Orthogonal Frequency Division Multiplexing (OFDM) systems. Our algorithm is based on eigenvalues interpolation and makes a collective use of data and channel constraints. We exploit these constraints to derive a frequency domain maximum a posteriori (MAP) channel estimator. Furthermore, we develop a data aided (expectation maximization based) estimator incorporating frequency correlation information. The estimator is further enhanced by utilizing the time correlation information through a forward backward (FB) Kalman filter. We also explore various implementation for the FB Kalman filter. The simulation results are provided validating the applicability of the proposed algorithm.",

keywords = "Channel estimation, Kalman filtering, Model reduction, Multi-access systems, OFDM",

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AU - Sohail, M. S.

AU - Al-Naffouri, T. Y.

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N2 - Channel estimation is an important prerequisite for receiver design. In this paper we present a semi-blind low complexity frequency domain based channel estimation algorithm for multi-access Orthogonal Frequency Division Multiplexing (OFDM) systems. Our algorithm is based on eigenvalues interpolation and makes a collective use of data and channel constraints. We exploit these constraints to derive a frequency domain maximum a posteriori (MAP) channel estimator. Furthermore, we develop a data aided (expectation maximization based) estimator incorporating frequency correlation information. The estimator is further enhanced by utilizing the time correlation information through a forward backward (FB) Kalman filter. We also explore various implementation for the FB Kalman filter. The simulation results are provided validating the applicability of the proposed algorithm.

AB - Channel estimation is an important prerequisite for receiver design. In this paper we present a semi-blind low complexity frequency domain based channel estimation algorithm for multi-access Orthogonal Frequency Division Multiplexing (OFDM) systems. Our algorithm is based on eigenvalues interpolation and makes a collective use of data and channel constraints. We exploit these constraints to derive a frequency domain maximum a posteriori (MAP) channel estimator. Furthermore, we develop a data aided (expectation maximization based) estimator incorporating frequency correlation information. The estimator is further enhanced by utilizing the time correlation information through a forward backward (FB) Kalman filter. We also explore various implementation for the FB Kalman filter. The simulation results are provided validating the applicability of the proposed algorithm.

KW - Channel estimation

KW - Kalman filtering

KW - Model reduction

KW - Multi-access systems

KW - OFDM

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M3 - Article

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SN - 0165-1684

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EP - 1572

JO - Signal Processing

JF - Signal Processing

IS - 5

ER -

An EM based frequency domain channel estimation algorithm for multi-access OFDM systems

Abstract

Keywords

ASJC Scopus subject areas

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