• DocumentCode
    2185972
  • Title

    Improved least-squares methods for source localization: An iterative Re-weighting approach

  • Author

    Ismailova, Darya ; Lu, Wu-Sheng

  • Author_Institution
    Electrical and Computer Engineering, University of Victoria, BC, Canada
  • fYear
    2015
  • fDate
    21-24 July 2015
  • Firstpage
    665
  • Lastpage
    669
  • Abstract
    Locating a radiating source from range or range-difference measurements in a passive sensor network has recently attracted an increasing amount of research interest as it finds applications in a wide range of network-based wireless systems. Striking results for these localization problems have emerged using squared range (SR-LS) or squared range-difference (SRD-LS) least-squares (LS) approaches. In this paper, we present improved LS methods that demonstrate improved localization performance when compared with the best known results from the literature.
  • Keywords
    Iterative methods; Least squares approximations; Linear programming; Maximum likelihood estimation; Noise measurement; Signal processing algorithms; Newton algorithm; generalized trust region subproblems (GTRS); improved globally optimal solution; iterative re-weighting; least squares; non-convex; range measurements; range-difference measurements; source localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing (DSP), 2015 IEEE International Conference on
  • Conference_Location
    Singapore, Singapore
  • Type

    conf

  • DOI
    10.1109/ICDSP.2015.7251958
  • Filename
    7251958