Wavelet BEM based channel estimation over rapidly time-varying channels

Author

Hua Yang ; Jian Xiong ; Suyue Li ; Lin Gui

Author_Institution

Shanghai Jiao Tong Univ., Shanghai, China

fYear

2013

fDate

7-10 April 2013

Firstpage

71

Lastpage

75

Abstract

This paper proposes a novel basis expansion model (BEM) to conduct channel estimation for single carrier single input single output (SC-SISO) systems over rapidly time-varying channels. Compared to complex exponential (CE) and polynomial BEM, wavelet BEM is less vulnerable to Doppler shift. Simulations show that the proposed wavelet BEM outperforms CE and polynomial BEM with about 2.5dB and 5.0dB respectively in terms of the mean square error-signal noise ratio (MSE-SNR) performance.

Keywords

channel estimation; mean square error methods; wavelet transforms; CE BEM; MSE-SNR performance; basis expansion model; complex exponential BEM; mean square error-signal noise ratio performance; polynomial BEM; rapidly time-varying channels; single carrier single input single output systems; wavelet BEM based channel estimation; Broadband communication; Channel estimation; Doppler effect; Fading; Time-varying channels; Training; Wavelet transforms; Basis Expansion Model (BEM); channel estimation; time-varying channel; wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking Conference Workshops (WCNCW), 2013 IEEE

Conference_Location

Shanghai

Print_ISBN

978-1-4799-0109-8

Electronic_ISBN

978-1-4799-0108-1

Type

conf

DOI

10.1109/WCNCW.2013.6533318

Filename

6533318