Study on Velocity Constrained Particle Filters in Passive Tracking Applications

Jian Kang; Wei Kang; Guo Sheng Rui

doi:10.4028/www.scientific.net/AMM.20-23.482

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 20-23Study on Velocity Constrained Particle Filters in...

Study on Velocity Constrained Particle Filters in Passive Tracking Applications

Abstract:

To improve the poor performance of the maneuvering target tracking, Particle Filters (PF) and velocity constrained Particle Filters (VCPF) are introduced to track the maneuvering target. According to the prior information, outrange particles are discarded during prediction step, and the distribution and the weight of particles are adjusted. Simulation result shows that VCPF can track the maneuvering target stablely. Furthermore, the convergence rate and track accuracy of the algorithm can also be effectively improved.

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Periodical:

Applied Mechanics and Materials (Volumes 20-23)

Pages:

482-486

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.20-23.482

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Online since:

January 2010

Authors:

Jian Kang, Wei Kang, Guo Sheng Rui

Keywords:

Maneuvering Target, Passive Tracking, Velocity Constrained Particle Filter

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References

[1] Haug A J. A tutorial on Bayesian Estimation and Tracking Techniques Applicable to Nonlinear and Non-Gaussian Process [R]. Mclean: MITRE Corporation, (2005).

Google Scholar

[2] Arulampalam S, Maskell S. A tutorial on particle filters for no-line/no-Gaussian Bayesian tracking [J]. IEEE Transactions of Signal Processing, 2002, 50(2): 174-188.

DOI: 10.1109/78.978374

Google Scholar

[3] LI X R and Jilkov V P. Survey of maneuvering target tracking part I: dynamic models [J], IEEE Trans. on Aerospace and Electronic System, 2003, 39(4): 1333-1364.

DOI: 10.1109/taes.2003.1261132

Google Scholar

[4] Jayesh H K, Peter M D. Gaussian Sum Particle Filtering [J]. IEEE Transactions on Signal Processing. 2003. 51(10): 2602-2612.

DOI: 10.1109/tsp.2003.816754

Google Scholar

[5] Djuric P M，Kotecha J H et al. Particle filtering. IEEE Signal Processing Magazine, 2003, 20 (5): 19-38.

DOI: 10.1109/msp.2003.1236770

Google Scholar

[6] Deng Xiao-Long, Xie Jian-Ying, Guo Wei-Zhong. Bayesian target tracking based on particle filter [J]. Journal of Systems Engineering and Electronics, 2005, 16(3): 545-549.

DOI: 10.1109/icmlc.2005.1527026

Google Scholar