• DocumentCode
    1881841
  • Title

    Suppression of multiple jammers with significantly different power levels

  • Author

    Poberezhskiy, Yefim S. ; Poberezhskiy, Gennady Y.

  • Author_Institution
    Commun. & Signal Process., San Diego, CA, USA
  • fYear
    2012
  • fDate
    3-10 March 2012
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    In many applications, software defined receivers (SDRs) can be victims of intentional and/or unintentional jamming. Often, multiple jamming signals (JSs) at their antennas have significantly different power levels. In this paper, suppression of JSs is considered for the most challenging case when some of the JSs are strong enough to desensitize or even damage the input circuits of victim SDRs. Two-stage spatial suppression of JSs is proposed to cope with such a situation. It is shown that this method is effective when the receiver antenna array has an adequate number of elements. Suppression of JSs always requires high dynamic range of victim SDRs. However, the requirements for the dynamic range become even higher when the two-stage spatial suppression of JSs is impossible. Implementation of a novel sampling technique based on a new interpretation of the sampling theorem is the most promising way to increase the dynamic range. If spatial suppression of JSs is impossible, or it is not sufficiently effective, other properties of JSs can be exploited. Adaptive combining of robust and Bayesian approaches is a beneficial anti-jam strategy.
  • Keywords
    Bayes methods; antenna arrays; radio receivers; receiving antennas; sampling methods; software radio; Bayesian approaches; JS two-stage spatial suppression; antijam strategy; multiple jammer suppression; multiple jamming signals; power levels; receiver antenna array; sampling technique; software defined receivers; victim SDR input circuits; Adders; Antenna arrays; Arrays; Jamming; Receiving antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2012 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4577-0556-4
  • Type

    conf

  • DOI
    10.1109/AERO.2012.6187148
  • Filename
    6187148