Communication Channel Equalization Optimization Algorithm Based on Particle Swarm Adaptive Control

The nonlinear communication system has been widely used in wireless communication and network communication, nonlinear communication system because of the influence of strong interference environment, channel equalization effect. A method based on particle swarm to control band straight under strong interference environment the extended registration nonlinear communication channel equalization control algorithm is proposed in this paper. Firstly, build the model of nonlinear communication system channel under strong interference environment, the design of nonlinear MIMO equalizer's input module, the channel estimation module and channel blind equalization module, uses the steepest gradient descent method for channel analysis of anti interference, the terahertz wave band phase shift keying direct sequence spread spectrum method step speed change and range control, particle swarm to control method of measure convolution extraction of communication signals, to achieve an improvement in channel equalization algorithm based on. Simulation results show that using the method of nonlinear communication channel equalization and has a lower bit error rate, balanced error at least, the residual inter symbol interference is low, anti-interference ability and convergence is superior to the traditional method.