Blind MultiUser Detection Algrithem Based on LMK Feed-Foward Neural Network

A feed-forward neural network blind multi-user detection algorithm based on the minimum kurtosis criteria was proposed. According to the characteristics of higher order cumulants, the cost function based on the minimum kurtosis criteria is founded. Constraint condition ensures that the desired signal can be obtained. The constraint cost function is optimized by the optimal methods. The feed-forward neural network blind multi-user detection algorithm based on minimum kurtosis criteria is realized. Simulations show that the new algorithm is superior to the traditional linear constraints algorithm in BER and convergence speed.