  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.
