By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Amir Ebrahimi ; Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran ; Ardavan Rahimian

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.

Published in:

Software, Telecommunications and Computer Networks, 2007. SoftCOM 2007. 15th International Conference on

Date of Conference:

27-29 Sept. 2007