• DocumentCode
    1671743
  • Title

    Localization with Doppler biased TOAS: An ill-conditioned problem

  • Author

    Xiufeng Song ; Gang Wang ; Willett, P. ; Shengli Zhou

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA
  • fYear
    2013
  • Firstpage
    4226
  • Lastpage
    4230
  • Abstract
    This paper investigates moving target localization by the biased time-of-arrivals (TOAs), where an extracted TOA is biased by the unknown Doppler of the target. The phenomenon applies to radar and sonar systems that employ Doppler tolerant waveforms. While in principle those would allow the estimation of both position and velocity using position-only measurements, we unfortunately find that the Fisher information matrix is ill-conditioned. However, a Quasi-maximum likelihood estimator based on the misspecified model is suggested, and its performance is analyzed.
  • Keywords
    Doppler effect; maximum likelihood estimation; position measurement; time-of-arrival estimation; velocity measurement; Doppler biased TOAS; Doppler tolerant waveforms; Fisher information matrix; TOAs; ill-conditioned problem; moving target localization; performance analysis; position estimation; position-only measurements; quasi-maximum likelihood estimator; radar system; sonar system; time-of-arrivals; velocity estimation; Delays; Doppler effect; Maximum likelihood estimation; Radar; Sonar; Vectors; Localization; TOA; estimation; maximum likelihood; measurement bias; misspecified model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638456
  • Filename
    6638456