Title :
Wiener Filter for Basis Expansion Model Based Channel Estimation
Author :
Zhong, Ke ; Lei, Xia ; Li, Shaoqian
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fDate :
8/1/2011 12:00:00 AM
Abstract :
This paper combines basis expansion model (BEM) based channel estimation with Wiener filter to deal with channel estimation in various mobile environments, especially in high-speed cases. The expression of Wiener filter for BEM based channel estimation (WF-BEM) is derived and the result explicitly considers the effect of intercarrier interference (ICI). The simulation results show that WF-BEM is better than Wiener filter for least squares (LS) based channel estimation in time-varying channels.
Keywords :
Wiener filters; channel estimation; least squares approximations; mobile radio; time-varying channels; WF-BEM; Wiener filter; basis expansion model; least squares based channel estimation; mobile environments; time-varying channels; Channel estimation; Interpolation; Mobile communication; Noise; OFDM; Time-varying channels; Wireless communication; BEM; Channel estimation; ICI; Wiener filter; time-varying channels;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2011.060811.110521
