Research of wireless fading channel modeling based on improved simulated annealing neural network

Aimed at the complicated and nonlinear relationship between input and output property of wireless channel and the advantages of neural network, a method for wireless channel modeling and simulation based on improved simulated annealing neural network (ISANN) is presented in this paper. First the simulated annealing algorithm with the best reserve mechanism is introduced and it is organic combined with Powell algorithm to form improved simulated annealing mixed optimize algorithm, instead of gradient falling algorithm of BP network to train network weight. It can get higher accuracy and faster convergence speed. We construct the network structure, and give the algorithm flow. We discussed the fading channel model and analyzed the impact factor of little-scale fading channel modeling. With the ability of strong self-learning and faster convergence of ISANN, the modeling method can implement the modeling and simulation of fading channel rapidly and effectively by learning the propagation characteristic information of wireless channel. The simulation result shows the feasibility and validity of modeling method.