• DocumentCode
    406253
  • Title

    LS and TLS in bearing-only target tracking

  • Author

    Yang, Chang Hong

  • Author_Institution
    Dept. of Radio Eng., Southeast Univ., Nanjing, China
  • Volume
    1
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    834
  • Abstract
    Passive position location of a stationary emitter from bearing-only measurements is a classical navigation problem. In this paper, by exploiting the total least-square (TLS) and least-square (LS) solution, the two algorithms estimate target motion parameters, using zero mean Gauss white noise. The performance of LS and TLS algorithms are evaluated in Monte-Carlo simulations and results are shown.
  • Keywords
    Gaussian noise; Monte Carlo methods; least squares approximations; navigation; parameter estimation; target tracking; Monte-Carlo simulations; bearing-only target tracking; passive position location; stationary emitter; target motion parameters; total least squares algorithm; white Gaussian noise; Aircraft; Equations; Motion estimation; Motion measurement; Motion planning; Noise measurement; Parameter estimation; Position measurement; Target tracking; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1279405
  • Filename
    1279405
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=406253