Research of Channel Estimation Method Based on Integrated Neural Network

Abstract

In order to solve the problem that noise and signal interference have an effect on the channel estimation of receiver, a channel estimation method based on integrated neural network has been proposed in this paper. Firstly, improved neural network would be used to extract nonlinear relationship between pilot signal with noise and original pilot signal. Secondly, the integrated neural network model would be obtained by selective integrating according to diversity factor, then channel estimation results could be obtained by model. Compared with the traditional methods, not only this method could reduce the computational complexity and obtain more accurate channel estimation results to reduce the bit error rate of communication system, but also reduce the cost of pilot and increase the bandwidth utilization rate. The simulation results show that the mean square error of channel estimation and bit error rate of communication are reduced by about 5% and 3% respectively, when compared with the traditional channel estimation method under the same signal-to-noise ratio.