• DocumentCode
    1383098
  • Title

    Presence detection of binary-phase-shift-keyed and direct-sequence spread-spectrum signals using a prefilter-delay-and-multiply device

  • Author

    Kuehls, John F. ; Geraniotis, Evaggelos

  • Author_Institution
    US Dept. of Defense, Fort Meade, MD, USA
  • Volume
    8
  • Issue
    5
  • fYear
    1990
  • fDate
    6/1/1990 12:00:00 AM
  • Firstpage
    915
  • Lastpage
    933
  • Abstract
    The specific problem of detecting the presence of either binary-phase-shift-keyed (BPSK) signals or BPSK direct-sequence spread-spectrum (DS/SS) signals with a prefilter-delay-and-multiply (PFDM) device is considered. Using stationary process theory and Fourier analysis, the optimum PFDM structures for signal presence detection of BPSK signals with known bit rates and carrier frequencies and BPSK DS/SS signals with known chip rates and carriers in additive colored Gaussian noise are derived. The structures are optimum in the sense that they maximize the spectral signal-to-noise ratio (SNR) of an output periodic waveform which has fundamental frequency equal to the bit or chip rate of the signal. Two of the optimum structures that are derived and analyzed are the optimal prefilter-square device and the optimal PFDM with delay set to one half of the signal´s bit or chip duration
  • Keywords
    fast Fourier transforms; phase shift keying; random noise; signal detection; spread spectrum communication; BPSK signals; FFT; additive colored Gaussian noise; binary-phase-shift-keyed; bit rates; carrier frequencies; chip rates; direct-sequence spread-spectrum signals; optimal prefilter-square device; prefilter-delay-and-multiply device; signal detection; spectral signal-to-noise ratio; stationary process theory; Additive noise; Binary phase shift keying; Bit rate; Frequency; Gaussian noise; Signal analysis; Signal detection; Signal processing; Signal to noise ratio; Spread spectrum communication;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/49.56397
  • Filename
    56397