计算机工程 ›› 2011, Vol. 37 ›› Issue (18): 97-99.doi: 10.3969/j.issn.1000-3428.2011.18.032

• 网络与通信 • 上一篇    下一篇

非高斯噪声下多循环平稳特征频谱检测

包亚萍,蒋 利,朱晓梅   

  1. (南京工业大学电子与信息工程学院,南京 211816)
  • 收稿日期:2011-03-18 出版日期:2011-09-20 发布日期:2011-09-20
  • 作者简介:包亚萍(1965-),女,副教授,主研方向:信号处理,认知无线电;蒋 利,硕士研究生;朱晓梅,讲师、博士研究生
  • 基金项目:
    江苏省教育厅高校自然科学基金资助项目(08KJB5100 15)

Spectrum Detection of Multiple Cyclostationary Characteristics Under Non-Gaussian Noise

BAO Ya-ping, JIANG Li, ZHU Xiao-mei   

  1. (College of Electronic and Information Engineering, Nanjing University of Technology, Nanjing 211816, China)
  • Received:2011-03-18 Online:2011-09-20 Published:2011-09-20

摘要: 研究非高斯噪声下基于循环平稳特征的主用户检测问题。结合主用户信号的多循环平稳特征,通过求和准则和最大准则对多个循环频率的谱相关函数进行整合,提高检测结果的可信度。在等权求和准则的基础上,利用不同循环频率处不同程度的循环平稳特征,提出一种基于谱相关函数的加权求和准则。仿真结果表明,多循环频率合作可以提高检测效率,并且加权求和准则的检测性能优于等权求和 准则。

关键词: 认知无线电, 高斯混合模型, 多循环平稳特征, 求和准则, 最大准则

Abstract: This paper researches the primary user’s detection based on cyclostationary characteristic in non-Gaussian noise. Combining with multiple cyclostationary characteristic of primary user, through summation criteria and maximum criterion, spectral correlation functions of multiple cyclic frequencies are integrated to improve the reliability of detection results. On the basis of equal weighted sum criteria, according to different levels of cyclostationary characteristic on different cyclic frequencies, a weighted summation criterion based on spectral correlation function is proposed. Simulation results show that the cooperation of multiple cyclic frequencies can improve detection results; the weighted summation criterion has better detection performance than equal weighted summation criteria.

Key words: cognitive radio, Gaussian Mixture Model(GMM), multiple cyclostationary characteristics, summation criterion, maximum criterion

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