• DocumentCode
    1324944
  • Title

    Fundamental Limits of Wideband Localization— Part II: Cooperative Networks

  • Author

    Shen, Yuan ; Wymeersch, Henk ; Win, Moe Z.

  • Author_Institution
    Lab. for Inf. & Decision Syst. (LIDS), Massachusetts Inst. of Technol., Cambridge, MA, USA
  • Volume
    56
  • Issue
    10
  • fYear
    2010
  • Firstpage
    4981
  • Lastpage
    5000
  • Abstract
    The availability of position information is of great importance in many commercial, governmental, and military applications. Localization is commonly accomplished through the use of radio communication between mobile devices (agents) and fixed infrastructure (anchors). However, precise determination of agent positions is a challenging task, especially in harsh environments due to radio blockage or limited anchor deployment. In these situations, cooperation among agents can significantly improve localization accuracy and reduce localization outage probabilities. A general framework of analyzing the fundamental limits of wideband localization has been developed in Part I of the paper. Here, we build on this framework and establish the fundamental limits of wideband cooperative location-aware networks. Our analysis is based on the waveforms received at the nodes, in conjunction with Fisher information inequality. We provide a geometrical interpretation of equivalent Fisher information (EFI) for cooperative networks. This approach allows us to succinctly derive fundamental performance limits and their scaling behaviors, and to treat anchors and agents in a unified way from the perspective of localization accuracy. Our results yield important insights into how and when cooperation is beneficial.
  • Keywords
    broadband networks; Fisher information inequality; cooperative networks; mobile devices; wideband cooperative location-aware networks; wideband localization; Accuracy; Distance measurement; Global Positioning System; Joints; Wideband; Cooperative localization; Cramér–Rao bound (CRB); equivalent Fisher information (EFI); information inequality; ranging information (RI); squared position error bound (SPEB);
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2010.2059720
  • Filename
    5571889