Paper Title:
Square Root Cubature Particle Filter
  Abstract

The square root cubature particle filter (SRCPF) uses the square root cubature Kalman filter (SRCKF) for generating the proposal distribution. The SRCPF algorithm is easy to be implemented and has numerical stability. Moreover, the SRCKF based proposal distribution approximates the optimal importance distribution by incorporating the current measurement. Simulation results demonstrate that the SRCPF algorithm has the better performance for state estimation than the generic particle filter (GPF), extended particle filter (EPF) and unscented particle filter (UPF), and its calculation cost decreases largely.

  Info
Periodical
Advanced Materials Research (Volumes 219-220)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
727-731
DOI
10.4028/www.scientific.net/AMR.219-220.727
Citation
J. Mu, Y. L. Cai, J. M. Zhang, "Square Root Cubature Particle Filter", Advanced Materials Research, Vols. 219-220, pp. 727-731, 2011
Online since
March 2011
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Price
$35.00
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