An multi-user detection algorithm based on diagonal feedback neural network

Neural network theory combining with multi-user detection, viz., multi-user detection based on neural network has been a new algorithm in recent years. An adaptive multi-user detection algorithm based on diagonal recursion neural network was proposed, the cost function and transfer function were chosen, the iteration formula was deduced, the computer simulation was made, and the simulation result was analyzed. The simulation result shows that the proposed algorithm has faster convergence rate and smaller bit error rate.