Recovering clipped OFDM symbols with Bayesian inference

David Declercq, Georgios B. Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

Abstract

A major problem with multicarrier transmissions is the near Gaussian behavior of the data stream entering the high power amplifier (HPA). This causes distortion (some samples are clipped) that must be corrected at the transmit-or receive-end, in order to improve the detection performance. We propose a new approach that recovers the distorted samples at the receiver. It is based on an augmented Bayesian model which captures the nonlinear behavior of the HPA. Estimates of the input symbols are then obtained with a hybrid deterministic/stochastic algorithm. Simulations over frequency selective channels show that when clipping is severe, our method outperforms existing methods.

Original languageEnglish (US)
Title of host publicationSignal Processing Theory and Methods I
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages157-160
Number of pages4
ISBN (Electronic)0780362934
DOIs
StatePublished - Jan 1 2000
Event25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey
Duration: Jun 5 2000Jun 9 2000

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume1
ISSN (Print)1520-6149

Other

Other25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
CountryTurkey
CityIstanbul
Period6/5/006/9/00

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