Maximum likelihood channel estimation and signal detection for OFDM systems

Author

Chen, Pei ; Kobayashi, Hisashi

Author_Institution

Dept. of Electr. Eng., Princeton Univ., NJ, USA

Volume

3

fYear

2002

fDate

2002

Firstpage

1640

Abstract

We apply joint maximum likelihood (ML) estimation to orthogonal frequency division multiplexing (OFDM) systems and develop a simple receiver structure that gives joint ML estimates of a multipath channel and the transmitted data sequence. Simulation results have confirmed good performance of our algorithm. For a two-path or three-path slow fading channel, our algorithm converges to the case with known channel parameters.

Keywords

OFDM modulation; digital radio; fading channels; iterative methods; maximum likelihood detection; maximum likelihood estimation; multipath channels; FFT; IFFT; OFDM systems; algorithm convergence; algorithm performance; channel parameters; iterative ML estimation algorithm; joint ML estimates; joint maximum likelihood estimation; maximum likelihood channel estimation; maximum likelihood signal detection; multicarrier digital communication; multipath channel; orthogonal frequency division multiplexing; receiver structure; simulation results; three-path slow fading channel; transmitted data sequence; two-path slow fading channel; Channel estimation; Fading; Frequency estimation; Iterative algorithms; Maximum likelihood detection; Maximum likelihood estimation; Multipath channels; OFDM; Signal detection; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2002. ICC 2002. IEEE International Conference on

Print_ISBN

0-7803-7400-2

Type

conf

DOI

10.1109/ICC.2002.997127

Filename

997127