DocumentCode
2452362
Title
Hybrid SIR joint particle filtering under limited sensor resolution
Author
Blom, Henk A P ; Bloem, Edwin A.
Author_Institution
Nat. Aerosp. Lab., Amsterdam
fYear
2007
fDate
9-12 July 2007
Firstpage
1
Lastpage
8
Abstract
The hybrid SIR joint particle filter has been developed as an effective approximation of the exact Bayesian filter for maintaining tracks of multiple maneuvering targets from unassociated measurements. This paper further develops this approach for the situation of limited sensor resolution and two maneuvering targets. For this problem the exact Bayesian filter recursion is characterized, and is subsequently used to develop a novel version of the hybrid SIR joint particle filter. For a simple example, the effectiveness of the novel approach in handling possibly merged measurements is demonstrated through Monte Carlo simulations.
Keywords
Monte Carlo methods; importance sampling; particle filtering (numerical methods); sensor fusion; Bayesian filter; Monte Carlo simulations; hybrid SIR joint particle filtering; limited sensor resolution; multiple maneuvering targets; Bayesian methods; Current measurement; Filtering; Particle filters; Particle measurements; Particle tracking; Robot vision systems; Sensor phenomena and characterization; Stochastic systems; Target tracking; Bayesian estimation; Descriptor system; False measurements; Formation flight; Markov chain; Missing measurements; Multitarget tracking; Stochastic hybrid system; Sudden maneuvers; Unresolved measurements;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion, 2007 10th International Conference on
Conference_Location
Quebec, Que.
Print_ISBN
978-0-662-45804-3
Electronic_ISBN
978-0-662-45804-3
Type
conf
DOI
10.1109/ICIF.2007.4408194
Filename
4408194
Link To Document