• DocumentCode
    1778136
  • Title

    A radar network based W-ABORT approach to counteract deceptive ECM signals

  • Author

    Coluccia, Angelo ; Ricci, Giuseppe

  • Author_Institution
    Dipt. di Ing. dell´Innovazione, Univ. del Salento, Lecce, Italy
  • fYear
    2014
  • fDate
    23-25 June 2014
  • Firstpage
    413
  • Lastpage
    418
  • Abstract
    We propose a new approach to adaptive detection of coherent signals backscattered by possible point-like targets in the context of electronic warfare; in fact, the possible target signal is buried in thermal noise, clutter, noise-like interferers and, possibly, coherent (i.e., deceptive ECM) interferers. We assume a network of radars: for a given cell under test only a subset of the radars receives ECM signals. Training data containing thermal noise, clutter, and noise-like interferers are available. The problem at hand is solved resorting to a two-stage detection strategy: first, the subset of radars under ECM is estimated; then, a proper detection strategy resorting to W-ABORT based detectors for radars under ECM is implemented. The performance assessment shows that the proposed solution is effective in presence of ECM systems.
  • Keywords
    backscatter; electronic countermeasures; radar clutter; radar detection; radar signal processing; thermal noise; W-ABORT approach; adaptive detection; backscattered coherent signal interferer; clutter interference; deceptive ECM signal counteraction; electronic countermeasure signal; electronic warfare; noise-like interferer; point-like target; radar network; radar subset estimation; target signal; thermal noise; two-stage detection strategy; whitened-adaptive beamformer orthogonal rejection test; Detectors; Electronic countermeasures; Radar antennas; Radar detection; Signal to noise ratio; Adaptive radar detection; digital radio frequency memory (DRFM); electronic counter-countermeasures (ECCM); electronic countermeasure (ECM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on
  • Conference_Location
    Alberobello
  • Print_ISBN
    978-1-4799-3019-7
  • Type

    conf

  • DOI
    10.1109/INISTA.2014.6873653
  • Filename
    6873653