• DocumentCode
    263033
  • Title

    Distributed localization of a non-cooperative RF target in NLOS environments

  • Author

    Wenjie Xu ; Quitin, F. ; Mei Leng ; Wee Peng Tay ; Razul, Sirajudeen Gulam

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We propose a novel distributed generalized expectation maximization (EM) method for non-cooperative target localization using a wireless sensor network. We consider the scenario where few or no sensors receive line-of-sight signals from the target. Each sensor is able to measure the time difference of arrival of the target´s signal with respect to a reference node, as well as the angle of arrival of the target´s signal. We show that our distributed algorithm converges, and simulation results suggest that our method achieves an accuracy close to the centralized EM algorithm. We apply the distributed EM algorithm to a set of experimental measurements, which confirm that the algorithm is able to localize a RF target in a realistic non-line-of-sight scenario.
  • Keywords
    expectation-maximisation algorithm; object detection; sensor placement; wireless sensor networks; EM method; NLOS environments; centralized EM algorithm; distributed generalized expectation maximization method; distributed localization; line-of-sight signals; non-line-of-sight scenario; noncooperative RF target; noncooperative target localization; wireless sensor network; Noise; Noise measurement; Position measurement; Sensor fusion; Simulation; Wireless sensor networks; Decentralized algorithm; Expectation maximization; Target localization; Wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2014 17th International Conference on
  • Conference_Location
    Salamanca
  • Type

    conf

  • Filename
    6916125