Joint maximum likelihood and Bayesian channel estimation
Min Xuan Shen · Journal of Chongqing University of Posts and Telecommunications · 2008
Statistical Bayesian channel estimation is effective in suppressing noise floor for high SNR,but its performance degrades due to less reliable noise estimation in low SNR region.Based on a robust nonlinear de-noising technique for small signal,a simplified joint maximum likelihood and Bayesian channel estimation is proposed and investigated.Simulation results are presented and analysis shows it is promising to improve channel estimation and joint detection performance for both low and high SNR situations.