Genetic-Algorithm-Assisted Maximum-Likelihood Detection of OFDM Symbols in the Presence of Nonlinear Distortions

Author

Sacchi, Claudio ; Donelli, Massimo ; De Natale, Francesco G B

Author_Institution

Dept. of Inf. & Commun. Technol., Trento Univ.

Volume

55

Issue

5

fYear

2007

fDate

5/1/2007 12:00:00 AM

Firstpage

854

Lastpage

859

Abstract

This letter aims at proposing the use of evolutionary computation methodologies (i.e., genetic algorithms) in order to solve the problem of the maximum-likelihood estimation of orthogonal frequency-division multiplexing symbols in the presence of nonlinear distortions. Experimental results can prove the effectiveness of the proposed detection algorithm achieved with a reasonable computational load

Keywords

OFDM modulation; genetic algorithms; maximum likelihood detection; nonlinear distortion; OFDM; detection algorithm; genetic algorithm; maximum-likelihood detection; maximum-likelihood estimation; nonlinear distortions; orthogonal frequency-division multiplexing; Fading; Frequency division multiplexing; Genetic algorithms; Maximum likelihood detection; Maximum likelihood estimation; Nonlinear distortion; OFDM modulation; Power amplifiers; Radio frequency; Radiofrequency amplifiers; Genetic algorithms (GAs); maximum-likelihood (ML) detection; multicarrier modulation (MCM); nonlinear distortion; orthogonal frequency-division multiplexing (OFDM);

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/TCOMM.2007.896126

Filename

4200958