• DocumentCode
    1145691
  • Title

    Detection of constrained subspace signals in additive infinite-dimensional interference and noise

  • Author

    Gubner, John A. ; Scharf, Louis L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
  • Volume
    50
  • Issue
    11
  • fYear
    2004
  • Firstpage
    2873
  • Lastpage
    2879
  • Abstract
    The detection of constrained subspace signals in additive infinite-dimensional interference and noise is motivated by consideration of multipath-Doppler channels subject to interference from partially overlapping frequency bands of other sources. Since the interference lies in an infinite-dimensional subspace, the standard method of projecting onto the subspace containing the signal plus interference does not yield a finite-dimensional detection problem. However, an alternative approach may be used to extract the appropriate finite-dimensional problem. Moreover, an energy constraint may be imposed on the desired signal. The generalized likelihood-ratio receiver for this problem is obtained, and expressions for its average probability of error are given.
  • Keywords
    AWGN channels; error statistics; interference suppression; maximum likelihood detection; multipath channels; signal detection; additive infinite-dimensional interference; average error probability; constrained subspace signal detection; energy constraint; generalized likelihood-ratio receiver; multipath-Doppler channels; noise; partially overlapping frequency bands; Additive noise; Constraint theory; Convolutional codes; Eigenvalues and eigenfunctions; Interference constraints; Noise reduction; Rayleigh channels; Signal processing; Subspace constraints; Wireless communication; Energy constraints; magnitude constraints; matched subspace detector;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2004.836674
  • Filename
    1347377