Square Root Cubature Particle Filter

Abstract:

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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 et al., "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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