NDLI: Estimation of channel parameters in a multipath environment via optimizing highly oscillatory error functions using a genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Ebrahimi, A. Rahimian, A.
Copyright Year	2007
Description	Author affiliation: Iran Univ. of Sci. & Technol., Tehran (Ebrahimi, A.)
Abstract	Channel estimation is of crucial importance for tomorrow's wireless mobile communication systems. This paper focuses on the solution of channel parameters estimation problem in a scenario involving multiple paths in the presence of additive white Gaussian noise. We assumed that number of paths in the multipath environment is known and the transmitted signal consists of attenuated and delayed replicas of a known transient signal. In order to determine the maximum likelihood estimates one has to solve a complicated optimization problem. Genetic algorithms (GA) are well known for their robustness in solving complex optimization problems. A GA is considered to extract channel parameters to minimize the derived error-function. The solution is based on the maximum-likelihood estimation of the channel parameters. Simulation results also demonstrate GA's robustness to channel parameters estimation errors.
Starting Page	1
Ending Page	5
File Size	1401592
Page Count	5
File Format	PDF
ISBN	9789536114931
DOI	10.1109/SOFTCOM.2007.4446112
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-27
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	Univ of Split-FESB
Subject Keyword	Maximum likelihood estimation Parameter estimation Least-Squares (LS) Genetic mutations Mobile communication Genetic algorithms Wireless communication Maximum-Likelihood (ML) Estimation Multipath Parameters Estimation Channel estimation Additive white noise Robustness Genetic engineering Genetic Algorithms (GA)
Content Type	Text
Resource Type	Article

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