Blind symbol detector for OFDM systems via sequential Monte Carlo filtering

Author

Yang, Zigang ; Wang, Xiaodong

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

Volume

1

fYear

2001

fDate

4-7 Nov. 2001

Firstpage

757

Abstract

We consider the application of the sequential Monte Carlo (SMC) methodology to the problem of blind symbol detection in a wireless orthogonal frequency-division multiplexing (OFDM) system over a frequency-selective fading channel. A novel blind SMC detector, built on the techniques of importance sampling and resampling, is developed for differentially encoded OFDM systems. The performance of different schemes of delayed-weight estimation methods is studied.

Keywords

OFDM modulation; blind equalisers; data communication; differential detection; fading channels; importance sampling; mobile radio; parameter estimation; time-varying channels; blind SMC detector; blind symbol detection; data communications; delayed-weight estimation; differentially encoded OFDM systems; frequency-selective fading channel; importance sampling; mobile wireless channels; orthogonal frequency-division multiplexing; resampling; sequential Monte Carlo method; wireless OFDM system; Delay estimation; Detectors; Filtering; Frequency division multiplexing; Frequency-selective fading channels; Monte Carlo methods; OFDM; Quadrature phase shift keying; Sliding mode control; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-7147-X

Type

conf

DOI

10.1109/ACSSC.2001.987026

Filename

987026