Symbol Timing Estimation for OFDM Systems Using Particle Filtering

Author

Huang, Hai ; Yin, Changchuan ; Yue, Guangxin

Author_Institution

Sch. of Telecommun. Eng., Beijing Univ. of Posts & Telecommun., Beijing

fYear

2007

fDate

16-18 April 2007

Firstpage

386

Lastpage

389

Abstract

In this paper, we investigate a novel approach to estimation and tracking the symbol timing offset in unknown multipath fading channel based on the application of method called sequential Monte Carlo. The performance of the proposed technique is studied through computer simulations that illustrate the accuracy of timing recovery and particle filtering receiver outperforms extended Kalman filtering (EKF) for the considered SNR.

Keywords

Kalman filters; Monte Carlo methods; OFDM modulation; fading channels; multipath channels; particle filtering (numerical methods); synchronisation; OFDM system; extended Kalman filtering; multipath fading channel; particle filtering; sequential Monte Carlo method; symbol timing estimation; symbol timing offset tracking; timing recovery; Fading; Filtering; Gaussian noise; Intersymbol interference; Monte Carlo methods; OFDM modulation; Particle tracking; Probability distribution; Timing; Transmitters; OFDM; Symbol timing; particle filtering;

fLanguage

English

Publisher

ieee

Conference_Titel

Anti-counterfeiting, Security, Identification, 2007 IEEE International Workshop on

Conference_Location

Xiamen, Fujian

Print_ISBN

1-4244-1035-5

Electronic_ISBN

1-4244-1035-5

Type

conf

DOI

10.1109/IWASID.2007.373661

Filename

4244853