Paper Title:
Rao-Blackwellized Particle Filtering for Mobility Positioning in Mixed Sight Conditions
  Abstract

Mixed sigh conditions include line-of-sight/non-line-of-sight (LOS/ NLOS) conditions, which have adverse impact on the precision for mobility positioning. A first-order Markov model is employed to describe the dynamic transition of sight conditions, which is hidden in measured data. A Rao-Blackwellized Particle filter (RBPF) is proposed to jointly estimate mobile state and the hidden sight state based on the measurement. Simulation results show the effectiveness of the method.

  Info
Periodical
Edited by
Long Chen, Yongkang Zhang, Aixing Feng, Zhenying Xu, Boquan Li and Han Shen
Pages
329-332
DOI
10.4028/www.scientific.net/AMM.43.329
Citation
H. M. Hu, "Rao-Blackwellized Particle Filtering for Mobility Positioning in Mixed Sight Conditions", Applied Mechanics and Materials, Vol. 43, pp. 329-332, 2011
Online since
December 2010
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