• DocumentCode
    2970226
  • Title

    Cooperative sensor localization with NLOS mitigation using semidefinite programming

  • Author

    Vaghefi, Reza Monir ; Buehrer, R.Michael

  • Author_Institution
    Mobile & Portable Radio Res. Group (MPRG), Virginia Tech, Blacksburg, VA, USA
  • fYear
    2012
  • fDate
    15-16 March 2012
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    Cooperative time-of-arrival-based sensor localization in a non-line-of-sight (NLOS) environment is investigated. Cooperative sensor localization plays an important role in indoor networks where GPS is limited. However, indoor networks suffer from NLOS propagation which degrades localization accuracy significantly. In this paper, we assume that the estimator is able to discriminate NLOS connections from line-of-sight (LOS) connections. We introduce a novel semidefinite programming (SDP) approach for cooperative localization which exploits NLOS connections to enhance the accuracy of localization. The performance of the proposed algorithm is compared with that of the maximum likelihood estimator and previously considered algorithms. Computer simulations show the excellent performance of the proposed SDP approach.
  • Keywords
    Global Positioning System; mathematical programming; maximum likelihood estimation; sensor placement; time-of-arrival estimation; GPS; LOS connections; NLOS mitigation; SDP approach; cooperative time-of-arrival-based sensor localization; global positioning system; indoor networks; line-of-sight connections; maximum likelihood estimator; nonline-of-sight environment; semidefinite programming; Accuracy; Maximum likelihood estimation; Minimization; Noise; Noise measurement; Nonlinear optics; Position measurement; cooperative localization; non-line-of-sight (NLOS) environment; semidefinite programming (SDP); time-of-arrival (TOA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Positioning Navigation and Communication (WPNC), 2012 9th Workshop on
  • Conference_Location
    Dresden
  • Print_ISBN
    978-1-4673-1437-4
  • Type

    conf

  • DOI
    10.1109/WPNC.2012.6268731
  • Filename
    6268731