• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (8): 52-59.

• 论文 • 上一篇    下一篇

自适应MIMO-OFDM通信系统中
基于CPSO-PF的状态优化与性能仿真

焦方源 ,李薇 ,李佳   

  1. (西华师范大学计算机学院,四川 南充 637009)
  • 收稿日期:2012-04-23 修回日期:2012-08-13 出版日期:2013-08-25 发布日期:2013-08-25
  • 基金资助:

    四川省教育厅自然科学重点项目(11ZA041)

State optimization and performance simulation of adaptive
MIMO-OFDM communication system based on CPSO-PF            

JIAO Fangyuan,LI Wei,LI Jia   

  1. (School of  Computer,China West Normal University,Nanchong 637009,China)
  • Received:2012-04-23 Revised:2012-08-13 Online:2013-08-25 Published:2013-08-25

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(CPSO)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。

关键词: 混沌粒子滤波, MIMOOFDM, 自适应优化, 算法设计, 仿真分析

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