系统仿真学报 ›› 2015, Vol. 27 ›› Issue (5): 1017-1023.

• 信息、控制、决策与仿真 • 上一篇    下一篇

基于DSPWVD-TFPF的通信信号噪声消除算法研究

苏岭东, 翟明岳   

  1. 华北电力大学电气与电子工程学院, 北京 102206
  • 收稿日期:2014-11-13 修回日期:2015-02-13 出版日期:2015-05-08 发布日期:2020-09-01
  • 作者简介:苏岭东(1986-),男,江苏徐州,博士生,研究方向为电力线通信噪声消除技术;翟明岳(1969-),男,博士,教授,研究方向为电力线通信关键技术。
  • 基金资助:
    国家自然科学基金(60972004)

Research of Noise Mitigation Method Based on DSPWVD-TFPF in Communication System

Su Lingdong, Zhai Mingyue   

  1. Department of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
  • Received:2014-11-13 Revised:2015-02-13 Online:2015-05-08 Published:2020-09-01

摘要: 针对通信系统低信噪比情况下,通信质量下降,传统的时频峰值滤波算法(time frequency peak filter, TFPF)在低信噪比下会出现时频聚集性下降的情况,利用联合定向平滑Wigner-Ville分布实现瞬时频率估计。这种新的分布基于定向平滑Wigner-Ville分布(directionally smoothed pseudo-Wigner-Ville distributions, DSPWVD)和一系列不同方向上的DSPWVD逐点自适应权重。仿真实验说明,在低信噪比情况下,DSPWVD-TFPF算法相比传统的TFPF,能够更好的提高时频聚集性,降低误码率(Bit Error Ratio, BER)。

关键词: 低信噪比, 噪声消除, 时频聚集性, 时频峰值滤波, 定向伪Wigner-Ville分布

Abstract: In the case of low SNR, the quality of the communication system will be decreased and the traditional TFPF on time-frequency clustering and noise suppression will descend. In order to overcome these, a new family of TF distribution, namely, the joint directionally smoothing Wigner-Ville distribution was presented to achieve instantaneous frequency estimation. This new TF distributions is based on the definition of the directionally smoothed pseudo Wigner-Ville distribution (DSPWVD) and point wise adaptive weight averaging of a bank of DSPWVD with different directions. The simulation shows that at low SNR, compared to traditional TFPF, DSPWVD-TFPF algorithm can better increase the time-frequency concentration and reduce the Bit Error Rate (BER).

Key words: low SNR, noise mitigation, time-frequency concentration, TFPF, DSPWVD

中图分类号: