Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2000, Vol. 23 ›› Issue (3): 39-43.

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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:
     

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

CLC Number: