• DocumentCode
    3510792
  • Title

    Prefiltering for higher order advantage

  • Author

    Ioup, George E. ; Pflug, Lisa A. ; Ioup, Juliette W. ; Field, Robert L.

  • Author_Institution
    Dept. of Phys., New Orleans Univ., LA, USA
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    309
  • Lastpage
    313
  • Abstract
    Prefiltering, or limiting the spectral domain of data, improves maximum magnitude correlation peak detectors, both ordinary and higher order, for known and unknown sources. The only exception is the matched filter, which intrinsically contains prefiltering. For the cases studied, prefiltering generally has a higher order advantage, i.e., for higher order and in higher dimensions, it is even more effective than in one dimension for the ordinary correlation. Geometrical considerations can give some insight into this advantage. The tricorrelation detector with prefiltering performs best for all eight tested signals in the unknown source tests, and is the best detector for seven of the eight signals in the known source tests. Prefiltering for higher order correlation detectors involves only one-dimensional filtering and so is computationally efficient.
  • Keywords
    correlation methods; filtering and prediction theory; signal detection; geometrical considerations; higher order correlation detectors; matched filter; maximum magnitude correlation peak detectors; one-dimensional filtering; prefiltering; source tests; spectral domain; tested signals; tricorrelation detector; Bandwidth; Detectors; Laboratories; Limiting; Matched filters; Passband; Physics; Signal processing; Signal to noise ratio; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Higher-Order Statistics, 1993., IEEE Signal Processing Workshop on
  • Conference_Location
    South Lake Tahoe, CA, USA
  • Print_ISBN
    0-7803-1238-4
  • Type

    conf

  • DOI
    10.1109/HOST.1993.264546
  • Filename
    264546