NDLI: Improved iterative detection and achieved throughputs of OFDM systems under imperfect channel estimation

Content Provider	IEEE Xplore Digital Library
Author	Sadough, S. Duhamel, P.
Copyright Year	2002
Abstract	Assuming imperfect channel estimation, we propose an improved detector for orthogonal frequency-division multiplexing (OFDM) systems over a frequency-selective fading channel. By adopting a Bayesian approach involving the statistics of the channel estimation errors, we formulate an improved maximum-likelihood (ML) detection metric taking into account the characteristics of the channel estimates. As a first step, we propose a modified iterative detector based on a maximum a posteriori receiver formulation which reduces the impact of channel uncertainty on the decoder performance, by an appropriate use of this metric. The results are compared to those obtained by using a detector based on a mismatched ML metric, which uses the channel estimate as if it was the perfect channel. In a second step, we calculate the information rates achieved by both the improved and mismatched ML detectors, in terms of achievable outage rates. These outage rates are compared to those provided by a theoretical (not practical) decoder defined as the best decoder in the presence of channel estimation errors. Numerical results over both uncorrelated Rayleigh fading channels and realistic ultra wideband channels show that the improved detector outperforms the classically-used mismatched approach in terms of bit error rate and achievable outage rates, without any increase in the receiver complexity.
Starting Page	5039
Ending Page	5050
Page Count	12
File Size	766109
File Format	PDF
ISSN	15361276
Volume Number	7
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Throughput OFDM Channel estimation Detectors Maximum likelihood estimation Maximum likelihood decoding Frequency division multiplexing Frequency-selective fading channels Bayesian methods Error analysis achievable outage rates. OFDM, BICM, channel estimation errors, mismatched ML detection, improved iterative BICM detection,
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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