• DocumentCode
    484011
  • Title

    Detectability of Radio Frequency Interference due to Spread Spectrum Communication Signals using the Kurtosis Algorithm

  • Author

    Misra, Sidharth ; Ruf, Christopher ; Kroodsma, Rachael

  • Author_Institution
    Dept. of Atmos., Oceanic & Space Sci., Univ. of Michigan, Ann Arbor, MI
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Analysis of detectability of the kurtosis algorithm for pulsed-sinusoidal radio frequency interference (RFI) has already been performed in detail. The detectability for wide-band spread-spectrum RFI is investigated here. A commercial RF communications product XBee is used for generating the spread-spectrum signal which is fed to the Agile Digital Detector (ADD) through a bench-top radiometer. ADD measures the probability distribution function of the incoming signal. The performance of the detection algorithm for spread-spectrum RFI is characterized and compared to pulsed-sinusoidal RFI. The sensitivity of the kurtosis algorithm with respect to the spectral properties of the wide-band signal is also investigated.
  • Keywords
    geophysical signal processing; interference (signal); radiofrequency interference; radiometers; Agile Digital Detector; XBee; bench top radiometer; kurtosis algorithm; microwave radiometry; probability distribution function; radio frequency interference detectability; spread spectrum communication signals; Algorithm design and analysis; Detectors; Performance analysis; RF signals; Radio frequency; Radiofrequency interference; Radiometry; Signal generators; Spread spectrum communication; Wideband; Microwave radiometry; interference; radio frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4778996
  • Filename
    4778996