• DocumentCode
    714854
  • Title

    Measurement association in SFN passive radar systems

  • Author

    Polonen, Keijo ; Koivunen, Visa

  • Author_Institution
    Sch. of Electr. Eng., Aalto Univ., Aalto, Finland
  • fYear
    2015
  • fDate
    10-15 May 2015
  • Abstract
    Passive radar systems utilize the signals of other broadcast or communication systems to illuminate the target. This kind of arrangement can offer an increased probability of detection of stealth targets and a lower probability of intercept necessary in many military applications. When a passive radar operates in a single-frequency network, such as DVB-T2, all transmitted signals share the same frequency and waveform. The receiver needs to be able to assign the echoes to the correct transmitters in order to detect a target and estimate its parameters. In this paper, a novel measurement association method that can be used even if only a single measurement is available from each of the transmitters is proposed. It is shown with simulations that the method is able to perfectly associate all the active transmitters in more than 90 % of the cases with a single measurement only, while allowing a reasonable tolerance for the delay estimation errors. It is also shown that the larger number of measurement points makes it possible to significantly increase the probability of correct association.
  • Keywords
    military radar; passive radar; probability; radar receivers; radar target recognition; radar transmitters; SFN passive radar systems; broadcast systems; communication systems; correct transmitters; measurement association; measurement points; military applications; probability of detection; receiver; single frequency network; stealth targets; target detection; transmitted signals; Digital video broadcasting; Minimization; Passive radar; Receivers; Sonar navigation; Transmitters; data association; multistatic; passive radar; single-frequency network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RadarCon), 2015 IEEE
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4799-8231-8
  • Type

    conf

  • DOI
    10.1109/RADAR.2015.7131045
  • Filename
    7131045