Regular Section
Joint Channel and Data Estimation Using Particle Swarm Optimization
2008 Volume E91.B Issue 9 Pages 3033-3036
Details
2008 Volume E91.B Issue 9 Pages 3033-3036
The task of joint channel and data estimation based on the maximum likelihood principle is addressed using a continuous and discrete particle swarm optimization (PSO) algorithm over additive white Gaussian noise channels. The PSO algorithm works at two levels. At the upper level continuous PSO estimates the channel while at the lower level, discrete PSO detects the data. Simulation results indicate that under the same conditions, PSO outperforms the best of the published alternatives.
