Time-varying Channel Estimation and Symbol Detection Using Superimposed Training in OFDM Systems

Authors:
Wen Qin;Qi-Cong Peng
Affiliations:
School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China 610054;School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China 610054
Venue:
Wireless Personal Communications: An International Journal
Year:
2008

Citing 4
Cited 1

Doubly selective channel estimation using superimposed training and exponential bases models

EURASIP Journal on Applied Signal Processing
Superimposed training for OFDM: a peak-to-average power ratio analysis

IEEE Transactions on Signal Processing - Part I
Pilot-Assisted Time-Varying Channel Estimation for OFDM Systems

IEEE Transactions on Signal Processing
Bandwidth Efficient Channel Estimation Using Super-Imposed Pilots in OFDM Systems

IEEE Transactions on Wireless Communications

An Enhanced Embedded-Pilot Channel Estimation Architecture for MIMO MC-CDMA Systems

Wireless Personal Communications: An International Journal

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Abstract

In mobile orthogonal frequency division multiplexing (OFDM) systems, time-varying channels result in severe intercarrier interference (ICI), and greatly degrade the system performance. So, it is necessary to estimate the accurate channel for equalization of received symbols. But, the conventional pilot-assisted channel estimation scheme consumes valuable bandwidth. In this paper, we adopt superimposed training approach for OFDM systems to estimate the time-varying channel, which is approximated by a basis expansion model (BEM). The proposed scheme is an extension of the superimposed training approach previously proposed for time-invariant channels in OFDM systems. At the same time, we employ an iterative best linear unbiased estimator (BLUE) to minimize the mean square error (MSE) of the coefficient estimates and improve the system performance. Simulation results prove the effectiveness of the proposed scheme in fast time-varying scenario.