计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (14): 125-127.DOI: 10.3778/j.issn.1002-8331.2009.14.038

• 数据库、信号与信息处理 • 上一篇    下一篇

分形噪声中BPSK信号检测的小波谱相关方法研究

李 强,刘全金   

  1. 安庆师范学院 物理系,安徽 安庆 246011
  • 收稿日期:2008-03-17 修回日期:2008-06-06 出版日期:2009-05-11 发布日期:2009-05-11
  • 通讯作者: 李 强

Detection of BPSK signals from fractal noise based on wavelet spectral correlation

LI Qiang,LIU Quan-jin   

  1. Department of Physics,Anqing Teachers College,Anqing,Anhui 246011,China
  • Received:2008-03-17 Revised:2008-06-06 Online:2009-05-11 Published:2009-05-11
  • Contact: LI Qiang

摘要: 小波变换作为一种新兴时频分析方法,其小波谱表征了信号的时频特性。对信号的小波谱以及与魏格纳-维尔分布之间的关系进行了较为详细地讨论。根据时频分析的理论,把小波谱扩展到了小波谱相关域,提出了小波谱相关分析方法,并应用到分形噪声和BPSK信号的分析上,探讨了它们的相应特性。根据探讨的结果,提出了分形噪声中BPSK信号检测的小波谱相关方法,并对讨论的结果进行了计算机仿真。

关键词: BPSK信号, 分形噪声, 谱相关, 小波谱相关

Abstract: Wavelet transform as a new time-frequency analysis method,its wavelet spectra characterizes time-frequency character of signals.This paper first analyzes wavelet spectra and compares with Wigner-Ville distribution.Then based on time-frequency theory,expands wavelet spectra to correlation region and proposes method of wavelet spectral correlation.Last applicates wavelet spectral correlation method to detection of BPSK signals embedded in fractal noise.Computation simulations provide the results of discussion.

Key words: BPSK signal, fractal noise, spectral correlation, wavelet spectral correlation