MAP blind equalization algorithm based on probability and adaptive
Zheng Ying-ying · Jisuanji gongcheng yu sheji · 2012
To reduce the residual mean square error(MSE) and increase the convergence speed in MAP,an improved MAP blind equalization algorithm based on probability and adaptive is presented.According to the principles of probability theory,the practical significance of the σ in the MAP algorithm is analyzed.The proposed algorithm changes the Gaussian variance σ in renewal equation from fixed value to variable value,which further improves the convergence of MAP blind equalization algorithm using the idea of not equal to the probability.The simulation results show that the equalization effect and convergence performance of modified MAP blind equalization algorithm are better than those of MAP blind equalization algorithm.