• DocumentCode
    897745
  • Title

    Signal interception: performance advantages of cyclic-feature detectors

  • Author

    Gardner, William A. ; Spooner, Chad M.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Davis, CA, USA
  • Volume
    40
  • Issue
    1
  • fYear
    1992
  • fDate
    1/1/1992 12:00:00 AM
  • Firstpage
    149
  • Lastpage
    159
  • Abstract
    The problem of detecting the presence of spread-spectrum phase-shift-keyed signals in variable noise and interference backgrounds is considered, and the performances of four detectors are evaluated and compared. The detectors include the optimum radiometer, the optimum modified radiometer that jointly estimates the noise level and detects the signal, and the maximum-SNR spectral-line regenerator for spectral-line frequencies equal to the chip rate and the doubled carrier frequency. It is concluded that the spectral-line regenerators can outperform both types of radiometers by a wide margin. The performance advantages are quantified in terms of receiver operating characteristics for several noise and interference environments and receiver collection times
  • Keywords
    noise; phase shift keying; radio receivers; radiofrequency interference; signal detection; spread spectrum communication; carrier frequency; chip rate; cyclic-feature detectors; interference; maximum-SNR spectral-line regenerator; noise; optimum modified radiometer; optimum radiometer; performance; phase-shift-keyed signals; receiver collection times; receiver operating characteristics; signal detection; signal interception; spectral-line frequencies; spread spectrum PSK signals; Detectors; Frequency estimation; Interference; Noise level; Performance evaluation; Phase detection; Phase noise; RF signals; Radiometry; Spread spectrum communication;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.126716
  • Filename
    126716