A New Sequential Detection Based on Hopfield Neural Network in Frequency Selective Fading Channels

摘要

In this paper,a new Hopfield Neural Network(HNN detector is described to estimate the transmitted sequences from the received signals in mobile communications and in order to avoid the convergence of HNN in local minima,a new decreasing step algorithm(DSA)is presented to search the optimum sequence quickly on the basis of the traditional Simulating Annealing(SA)algorithm.Computer simulation results show that the new HNN detector provides almost the same performance as that of the Viteribi detector with less calculations and memory capacity.Moreover,compared with Viterbi detector,direct hardware implementation for HNN detector is feasible and convenient especially for the long constraint lenth convolutional code.