Abstract:

In view of the present practical issues that channel noise seriously affects the communication quality of MIMOOFDM communication system since its state parameters cannot be adjusted according to the channel interference and noise, this paper discussed the transmission principle and the performance parameters of MIMOOFDM communication system, studied the performance characteristics of chaotic particle swarm optimization (CPSO) and particle filter(PF), proposed a type of CPSO particle filterbased adaptive MIMOOFDM communication system model, designed a adaptive state optimization algorithm based on CPSOPF, and carried out he system BER simulation by combing typical interference noise. Simulation results show that the state optimization based on CPSOPF can restrain the noise effectively, and improve the system BER performance of adaptive MIMOOFDM communication significantly.

Key words: CPSO-PF;MIMO-OFDM;adaptive optimization;algorithm design;simulation analysis