Blind multi-user detection based on lagrange optimization neural network

Abstract

A kind of Lagrange principle of optimizing neural network is sketched in the paper, it has overcome the traditional defect based on that the neural network which punish function thought exists deal with inequality restraint directly reduce network size and complexity a kind of new optimization neural network Based on the Lagrange neural network, proposed a kind of blind multi-user detection algorithm, and indicated through the computer simulation, this algorithm has the improvement in the error rate performance aspect, the convergence rate also obviously enhances.