Super-resolution time delay estimation in multipath environments

Author

Ge, Feng-Xiang ; Shen, Dongxu ; Peng, Yingning ; Li, Victor O K

Author_Institution

Dept. of Electr. & Electron. Eng., Hong Kong Univ., China

Volume

2

fYear

2004

fDate

21-25 March 2004

Firstpage

1121

Abstract

The problem of super-resolution time delay estimation in multipath environments is addressed in this paper. Two cases, active and passive systems, are considered. The time delay estimation is first converted into a sinusoidal parameter estimation problem. Then the sinusoidal parameters are estimated by generalizing the multiple signal classification (MUSIC) algorithm for single-experiment data. The proposed method, referred to as the MUSIC-type algorithm, approximates the Cramer-Rao bound (CRB) in terms of the mean square errors (MSKs) for different signal-to-noise ratios (SNRs) and separations of multipath components. Simulation results show that the MUSIC-type algorithm performs better than the classical correlation approach and the conventional MUSIC method for the closely spaced components in multipath environments.

Keywords

delay estimation; mean square error methods; multipath channels; signal classification; signal resolution; Cramer-Rao bound; active system; mean square errors; multipath environments; multiple signal classification algorithm; passive systems; signal-to-noise ratios; sinusoidal parameter estimation problem; super-resolution time delay estimation; Classification algorithms; Data models; Delay effects; Delay estimation; Discrete Fourier transforms; Mean square error methods; Multiple signal classification; Parameter estimation; Signal processing algorithms; Signal resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking Conference, 2004. WCNC. 2004 IEEE

ISSN

1525-3511

Print_ISBN

0-7803-8344-3

Type

conf

DOI

10.1109/WCNC.2004.1311345

Filename

1311345