DocumentCode
1153317
Title
A first-order statistical method for channel estimation
Author
Zhou, G. Tong ; Viberg, Mats ; McKelvey, Tomas
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
10
Issue
3
fYear
2003
fDate
3/1/2003 12:00:00 AM
Firstpage
57
Lastpage
60
Abstract
Multipath is a major impairment in a wireless communications environment, and channel estimation algorithms are of interest. We propose a superimposed periodic pilot scheme for finite-impulse response (FIR) channel estimation. A simple first-order statistic is used, and any FIR channel can be estimated. There is no loss of information rate but a controllable increase in transmission power. We derive the variance expression of our linear channel estimate and compare with the Cramer-Rao bound. Numerical examples illustrate the effectiveness of the proposed method.
Keywords
channel estimation; intersymbol interference; multipath channels; statistical analysis; transient response; Cramer-Rao bound; FIR channel estimation; ISI; channel equalization; channel estimation algorithms; finite-impulse response channel estimation; first-order statistic; first-order statistical method; information rate; intersymbol interference; linear channel estimate; multipath channel; periodic pilot scheme; transmission power; variance expression; wireless communications; Blind equalizers; Channel estimation; Finite impulse response filter; Higher order statistics; Information rates; Propagation losses; Sampling methods; Statistical analysis; Transmitters; Wireless communication;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2002.807864
Filename
1182084
Link To Document