北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2000, Vol. 23 ›› Issue (3): 39-43.

• 学术论文 • 上一篇    下一篇

混合噪声情况下随机信号的Robust-M检测

侯书果1, 陆传赉1, 李永慈2   

  1. 1.北京邮电大学信息工程学院, 北京 100876;
    2.河北农业大学计算机系, 保定 07100
  • 收稿日期:1999-12-28 出版日期:2000-10-10
  • 作者简介: 侯书果(1965—),女,河北平山县人,硕士.
  • 基金资助:
     

On Robust-M Detection of Random Signals in -Mixing Noise

HOU Shu-guo1, LU Chuan-lai1, LI Yong-ci2   

  1. 1.Information Engineering School, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2.Department of Computer Science, Hebei agricultural University, Baoding 07100, China
  • Received:1999-12-28 Online:2000-10-10
  • Supported by:
     

摘要: 就随机信号的情形对-混合噪声情况进行信号检测,给出了最不利密度函数及最佳的Robust-M检测器,计算机模拟结果表明,此检测器能很好地检测随机信号.

关键词: 信号检测, Robust-M检测器, 最不利密度函数, -混合序列

Abstract: The most disadvantage density function and the optimal Robust-M detector are achived after the Robust-M detecting of random signals in -mixing noise.It is concluded that this detector is a kind of Robust detector of good performance by stimulated by computers.

Key words: signal detection, Robust-M detection, the most disadvantage density function, -mixing sequences

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