• DocumentCode
    1585011
  • Title

    Maximum likelihood detection of co-channel communication signals via exploitation of spatial diversity

  • Author

    Xu, G. ; Cho, Y. ; Paulraj, A. ; Kailath, T.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • fYear
    1992
  • Firstpage
    1142
  • Abstract
    A maximum-likelihood method is used to jointly detect multiple cochannel communication signals. The joint detection idea is explained by considering the simple case in which all the signals are synchronized. Extensions to more complicated cases for asynchronized and convolutionally coded signals are discussed. Computer simulations have been conducted to compare the performance of the proposed detection method with that of independent detection methods in some typical scenarios. The simulation results show that the performance gain is significant if some cochannel signals are closely spaced. Some suboptimal methods that require much less complexity than the full joint detection methods but have marginal performance loss are also discussed
  • Keywords
    array signal processing; diversity reception; maximum likelihood estimation; parameter estimation; radiocommunication; signal detection; array processing; asynchronised signals; co-channel communication signals; convolutionally coded signals; joint detection; maximum-likelihood method; multiple co-channel signals; performance gain; signal detection; spatial diversity; suboptimal methods; synchronised signals; Antenna arrays; Frequency; Maximum likelihood detection; Maximum likelihood estimation; Receivers; Receiving antennas; Signal detection; Signal processing; US Government; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-3160-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.1992.269120
  • Filename
    269120