• DocumentCode
    3082002
  • Title

    Angle-of-arrival-assisted Relative Interferometric localization using Software Defined Radios

  • Author

    Friedman, Jonathan ; Davitian, Anna ; Torres, Dustin ; Cabric, Danijela ; Srivastava, Mani

  • Author_Institution
    Electr. Eng. Dept., Univ. of California, Los Angeles (UCLA), Los Angeles, CA, USA
  • fYear
    2009
  • fDate
    18-21 Oct. 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this work, we present SDR-ARI - a software defined radio (SDR) approach to an angle-of-arrival-assisted relative interferometric (ARI) RADAR transceiver. It has a number of desirable attributes including the ability to reduce the synchronization, network, and hardware requirements when operating as the sole RADAR modality and its ability to augment existing pulsed and CW RADAR algorithms. While, ARI encoding was initially proposed in prior work, no implementation had been completed and only a pure hardware approach to the receiver was reported. We have developed and implemented a software-defined model in Matlab, and have designed, simulated, and implemented an SDR-ARI transceiver utilizing USRP hardware and gnuRadio software. The use of software-defined radio has allowed us to implement ARI in a timely manner. The proposed approach is described and analyzed.
  • Keywords
    direction-of-arrival estimation; radar interferometry; radar receivers; software radio; transceivers; CW RADAR algorithms; Matlab; RADAR modality; RADAR transceiver; SDR-ARI transceiver; USRP hardware; angle-of-arrival-assisted relative interferometric localization; gnuRadio software; software defined radio; Content addressable storage; Data processing; Databases; Fires; Information technology; Military aircraft; Modems; Software radio; Weapons; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, 2009. MILCOM 2009. IEEE
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-5238-5
  • Electronic_ISBN
    978-1-4244-5239-2
  • Type

    conf

  • DOI
    10.1109/MILCOM.2009.5379787
  • Filename
    5379787