• DocumentCode
    1944668
  • Title

    Linear and approximate maximum likelihood localization from TOA measurements

  • Author

    Chan, ZT ; Yau, C.H. ; Ching, PC

  • Author_Institution
    Dept. of Electron. Eng., Chinese Univ. of Hong Kong, China
  • Volume
    2
  • fYear
    2003
  • fDate
    1-4 July 2003
  • Firstpage
    295
  • Abstract
    Many applications in telecommunications require the determination of the localization of a transmitter, through interception of its transmissions by receivers at known positions. The time-of-arrival (TOA) of a signal at a receiver, multiplied by the speed of travel of the signal, gives the range of the transmitter from the receiver. With two or more receivers, the intersection of the range circles then determines the emitter location. From noisy TOA measurements, optimal estimation requires solving nonlinear equations. This paper proposes a closed-form, linear approximation method that finds the optimal solution. The performance of this estimator is superior to two other linear estimators, and attains the theoretical error lower bound, as confirmed by simulation.
  • Keywords
    maximum likelihood estimation; mobile radio; nonlinear equations; radio receivers; radio transmitters; signal processing; TOA measurements; linear approximation method; maximum likelihood localization; nonlinear equations; optimal estimation; time-of-arrival; GSM; Linear approximation; Maximum likelihood estimation; Mobile handsets; Monitoring; Nonlinear equations; Time difference of arrival; Transmitters; US Government; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
  • Print_ISBN
    0-7803-7946-2
  • Type

    conf

  • DOI
    10.1109/ISSPA.2003.1224872
  • Filename
    1224872