• DocumentCode
    1707320
  • Title

    Non-line-of-sight detection based on TOA and signal strength

  • Author

    Yu, Kegen ; Guo, Y. Jay

  • Author_Institution
    Wireless Technol. Lab., CSIRO ICT Centre, Marsfield, NSW
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper addresses the problem of identifying NLOS propagation by applying the statistical decision theory. A time-of-arrival (TOA) based method is developed under idealized conditions to provide a performance reference. In the presence of both TOA and received signal strength (RSS) measurements, a joint identification method is derived to efficiently exploit both the TOA and RSS measurements. Analytical expressions for the probability of detection (POD) and the probability of false alarm (PFA) are derived. Simulation results demonstrate that the proposed methods perform well and the joint TOA and RSS based method outperforms the TOA based methods considerably. It is also shown that the analytical results agree with the simulated ones.
  • Keywords
    signal detection; statistical analysis; time-of-arrival estimation; NLOS propagation; TOA estimation; joint identification method; nonline-of-sight detection; probability of detection; probability of false alarm; received signal strength; statistical decision theory; time-of-arrival based method; Acoustic noise; Australia; Error analysis; Laboratories; Noise measurement; Paper technology; Radio propagation; Signal processing; Testing; Working environment noise; NLOS identification; Neyman-Pearson Theorem; TOA; signal strength;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008. IEEE 19th International Symposium on
  • Conference_Location
    Cannes
  • Print_ISBN
    978-1-4244-2643-0
  • Electronic_ISBN
    978-1-4244-2644-7
  • Type

    conf

  • DOI
    10.1109/PIMRC.2008.4699474
  • Filename
    4699474