系统工程与电子技术 ›› 2018, Vol. 40 ›› Issue (10): 2348-2353.doi: 10.3969/j.issn.1001-506X.2018.10.28

• 通信与网络 • 上一篇    下一篇

基于MCMC的OFDM系统脉冲噪声检测与抑制方法

李冬霞, 刘国庆, 刘海涛   

  1. 中国民航大学智能信号与图像处理天津市重点实验室, 天津 300300
  • 出版日期:2018-09-25 发布日期:2018-10-10

Impulsive noise detection and mitigation method based onMCMC in OFDM system

LI Dongxia, LIU Guoqing, LIU Haitao   

  1. Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
  • Online:2018-09-25 Published:2018-10-10

摘要: 为解决正交频分复用系统(orthogonal frequency division multiplexing,OFDM)中存在脉冲噪声干扰降低系统链路可靠性的问题,提出基于马尔可夫蒙特卡罗(Markov chain Monte Carlo,MCMC)的turbo迭代均衡检测方法。首先给出OFDM系统发射机和接收机模型;然后分析给出未知变量的先验分布及其在已知接收信号条件下的条件分布,通过MCMC均衡器抽样估计得到信道和脉冲噪声的参数信息;最后给出turbo迭代结构的具体实现过程。仿真结果表明,在加性高斯白噪声(additive white Gaussian noise,AWGN)信道和多径信道中,该方法可以有效降低OFDM系统中脉冲噪声影响,提高系统可靠性

Abstract: To solve the problem that impulsive noise interference deteriorates the system link reliability of orthogonal frequency division multiplexing (OFDM) systems, the turbo iterative equalization detection method based on Markov chain Monte Carlo (MCMC) is proposed. Firstly, the transmitter and receiver models of the OFDM system are given. Then, the prior distribution of unknown variables and their conditional distribution given the received signal are derived. The parameters of channel and impulse noise can be estimated by samples generated from the MCMC equalizer. Finally, specific implementation processes of turbo iterative structures are provided. Simulation results show that the proposed method can reduce the impact of impulsive noise and significantly improve the system reliability in additive white Gaussian noise (AWGN) channels and multipath channels.