Paper Title:
A Improved Chan Algorithm Basing on Particle Filtering in NLOS Environment
  Abstract

In the wireless positioning issue basing on TOA/TDOA, NLOS makes a great impact on the positioning accuracy. This paper presents a particle filtering based improved Chan Algorithm. Considering the case of multiple base stations, in the first step we use Chan algorithm to get the initial location estimation basing on the information provided by the base stations which are divided into subgroups. In the second step, we calculate the contributions of these estimated locations, and then use these contributions in the particle filtering framework to get the MAP of the location. Experimental results show that the improved algorithm can suppress the effect of the NLOS and can get better location estimation than the basic algorithm.

  Info
Periodical
Advanced Materials Research (Volumes 217-218)
Edited by
Zhou Mark
Pages
1564-1568
DOI
10.4028/www.scientific.net/AMR.217-218.1564
Citation
Z. Q. Wang, Y. S. Zhu, N. Liu, "A Improved Chan Algorithm Basing on Particle Filtering in NLOS Environment", Advanced Materials Research, Vols. 217-218, pp. 1564-1568, 2011
Online since
March 2011
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Price
$35.00
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