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 :
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