摘要
针对MIMO-OFDM通信系统状态参数不能随信道干扰噪声适时调整而严重影响通信质量的实际问题,论述了MIMO-OFDM通信系统的传输原理与性能参数,研究了混沌粒子群优化算法(CP-SO)及粒子滤波(PF)的性能特点,提出了基于CPSO粒子滤波(CPSO-PF)的自适应MIMO-OFDM通信系统模型;设计了基于CPSO-PF的自适应状态优化算法,并结合典型干扰噪声环境对系统误码率进行了仿真。仿真实验结果表明,基于CPSO-PF的自适应状态优化能够有效抑制噪声干扰,显著改善自适应MIMO-OFDM通信系统的误码性能。
In view of the present practical issues that channel noise seriously affects the communica- tion quality of MIMO-OFDM communication system since its state parameters cannot be adjusted accord- ing to the channel interference and noise, this paper discussed the transmission principle and the per- formance 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 ef- fectively, and improve the system BER performance of adaptive MIMO-OFDM communication signifi- cantly.
出处
《计算机工程与科学》
CSCD
北大核心
2013年第8期52-59,共8页
Computer Engineering & Science
基金
四川省教育厅自然科学重点项目(11ZA041)
