• DocumentCode
    1834997
  • Title

    A novel algorithm for mobile station location estimation with none line of sight error using robust least M-estimation

  • Author

    Zhao, S.H. ; Chan, S.C.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong
  • fYear
    2008
  • fDate
    18-21 May 2008
  • Firstpage
    1176
  • Lastpage
    1179
  • Abstract
    A novel algorithm for the mobile station (MS) location estimation with none line of sight (NLOS) error in wireless network is proposed in this paper. In the proposed algorithm, the MS location estimation problem is formulated as a simple linear approximation problem in vector space with the data corrupted by the NLOS errors. The M-estimator is employed to eliminate the NLOS errors, and a recursive algorithm is developed to solve the M-estimation normal equations. Compared to the conventional algorithms, the proposed algorithm does not rely on the prior knowledge of the statistical model of the measurement noise. Another advantage is that the proposed algorithm can track the slow moment of MS due to the recursive nature, which is hardly to achieve in other algorithms. The algorithm also possesses low arithmetic complexity. Effectiveness of the proposed algorithm is verified by the numerical simulations.
  • Keywords
    estimation theory; mobile radio; radio networks; M-estimation normal equations; low arithmetic complexity; measurement noise; mobile station location estimation; none line of sight error; recursive algorithm; robust least M-estimation; statistical model; wireless network; AWGN; Additive white noise; Degradation; Equations; Gaussian noise; Noise measurement; Recursive estimation; Robustness; Time measurement; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-1683-7
  • Electronic_ISBN
    978-1-4244-1684-4
  • Type

    conf

  • DOI
    10.1109/ISCAS.2008.4541633
  • Filename
    4541633