Genetic Algorithm Applied to Multipath Multiuser Channel Estimation in DS/CDMA Systems
Fernando Ciríaco, Taufik Abrão, Paul Jean E. Jeszensky · 2006
This work analyses a heuristic algorithm based on the genetic evolution theory (GA) applied to multipath multiuser channel estimation (MuChE) in direct sequence code division multiple access (DS/CDMA). Using computer simulations we showed that the proposed GA-MuChE is capable of achieving a normalized mean squared error (MSE) in estimations of the order of 8% for slowly varying multipath fading channels (fD = 17Hz) and medium system load (≈ 50%), with lower complexity than the maximum likelihood multiuser channel estimation (ML-MuChE) and gradient methods (Gradient Descent).