A Particle Filter Update Algorithm Based on out of Sequence Measurement

Xiao Mei Gong

doi:10.4028/www.scientific.net/AMM.380-384.866

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384A Particle Filter Update Algorithm Based on out of...

A Particle Filter Update Algorithm Based on out of Sequence Measurement

Abstract:

Consider out of sequence measurement (oosm) estimation problem in central tracking system of multi-sensor distributed data fusion, which is due to the communication delay. Apply the particle filter algorithm to overcome this problem and propose a update algorithm for the case of an arbitrary (multi-step) lag in case of nonlinear. Then we compare this algorithm with the known EKF oosm algorithm. Results demonstrate the feasibility and effectiveness of this algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

866-870

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.866

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Online since:

August 2013

Authors:

Xiao Mei Gong

Keywords:

Data Fusion, Non-Linear Filter, Particle Filter (PF), Target Tracking

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