Wiener Filter Based Channel Estimation for High-Speed Communication Environments

Authors:
Ke Zhong;Xia Lei;Shaoqian Li
Affiliations:
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China;National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China;National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
Venue:
Wireless Personal Communications: An International Journal
Year:
2013

Citing 4
Cited 1

Two-Dimensional Pilot-Symbol-Aided Channel Estimation by Wiener Filtering

ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Pilot-Aided Channel Estimation Techniques in OFDM System

ICCSN '09 Proceedings of the 2009 International Conference on Communication Software and Networks
LTE, The UMTS Long Term Evolution: From Theory to Practice

LTE, The UMTS Long Term Evolution: From Theory to Practice
Linear Interpolation in Pilot Symbol Assisted Channel Estimation for OFDM

IEEE Transactions on Wireless Communications

Bandpass Filter with Wide Stopband Using Composite Right/Left Handed Transmission Line

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Wiener filter is the best channel interpolation method in terms of minimizing mean square error at the time dimension. However, Wiener filter with low order will lose its efficiency in high-speed communication environments, while Wiener filter with high order suffers from the problem of high computational complexity. In this paper, we analyze the relationships among Wiener filter with different orders and their corresponding application scenarios. Furthermore, based on the analysis, a pilot symbol design criterion for high-speed communication environments and a simplified Wiener filter based channel estimation technique are proposed, respectively.