A new blind equalization algorithm based on discrete Hopfield-type neural network
Zhiyong Zhang · Journal of Xi'an University of Post and Telecommunications · 2006
Focused on many existing blind equalization algorithms that have different requests for sending signals,equalization machine,and channel,and based on a quadratic programming problem to blindly detect transmitted signals with the projection of the orthogonal complement of a received data matrix and a priori knowledge that transmitted signals belonged to finite alphabets,a new direct blind equalization using discrete hopfield-type neural network algorithm is proposed by the paper.This algorithm conquers above problems effectively.Based on SIMO channel,simulations show that the algorithm achieves good astringency and satisfactory performance.