R. Zhou
Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing, 100190, China
B. Liu
Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing, 100190, China
J. Teng
School of Control and Computer Engineering, North China Electrical Power University, Beijing, 102206, China
ABSTRACT
The sample impoverishment during particles resampling is a challenging problem in using particle filter to track point target. The reason is that the impoverishment will lead to the divergence of particles and failure of tracking. To solve the problem, a new resampling algorithm is presented in this study. The idea is that random particle samples are drawn from the neighborhoods of previous samples with high weights according to Gaussian distribution instead of simple duplication. Therefore, during the resampling, the effect of sample impoverishment is reduced and diversity of particle samples is enriched because of the samples expansion while the low weights samples are discarded. To illustrate proposed method, the resampling algorithm with simple duplication and the resampling algorithm with random drawing samples based on Gaussian distribution are compared. Simulation results show that the tracking failure is reduced in the quantitative criteria-RMSE.
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How to cite this article
R. Zhou, B. Liu and J. Teng, 2013. Improved Resampling Particle Filter for Maneuvering Point Target Tracking. Journal of Applied Sciences, 13: 2045-2050.
DOI: 10.3923/jas.2013.2045.2050
URL: https://scialert.net/abstract/?doi=jas.2013.2045.2050
DOI: 10.3923/jas.2013.2045.2050
URL: https://scialert.net/abstract/?doi=jas.2013.2045.2050
REFERENCES
- Zang, W., Z.G. Shi, S.C. Du and K.S. Chen, 2007. Novel roughening method for reentry vehicle tracking using particle filter. J. Electromagn. Waves Appl., 21: 1969-1981.
CrossRefDirect Link - Liu, H.Q. and H.C. So, 2009. Target tracking with line-of-sight identification in sensor networks under unknown measurement noises. Prog. Electromagn. Res., 97: 373-389.
CrossRefDirect Link - Kural, F., F. Arikan, O. Arikan and M. Efe, 2010. Performance evaluation of track association and maintenance for a MFPAR With Doppler velocity measurements. Prog. Electromagn. Res., 108: 249-275.
CrossRefDirect Link - Wang, X., J.F. Chen, Z.G. Shi and K.S. Chen, 2011. Fuzzy-control-based particle filter for maneuvering target tracking. Process Electromag. Res., 118: 1-15.
CrossRefDirect Link - Arulampalam, M.S., S. Maskell, N. Gordon and T. Clapp, 2002. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Processing, 50: 174-188.
CrossRef - Chen, J.F., Z.G. Shi, S.H. Hong and K.S. Chen, 2009. Grey prediction based particle filter for maneuvering target tracking. Prog. Electromag. Res., 93: 237-254.
Direct Link - Di, M., E.M. Joo and L.H. Beng, 2008. A comprehensive study of kalman filter and extended kalman filter for target tracking in wireless sensor networks. Proceedings of the IEEE International Conference on Systems Man and Cybernetics, October 12-15, 2008, Singapore, pp: 2792-2797.
CrossRef - Bar-Shalom, Y. and K. Birmiwal, 1982. Variable dimension filter for maneuvering target tracking. IEEE Trans. Aerospace Electronic Syst., 18: 621-629.
CrossRef - Yu, Y. and Q. Cheng, 2006. Particle filters for maneuvering target tracking problem. Signal Process., 86: 195-203.
CrossRefDirect Link - Morelande, M.R. and S. Challa, 2005. Manoeuvring target tracking in clutter using particle filters. IEEE Trans. Aerospace Electron. Syst., 41: 252-270.
CrossRefDirect Link - Vadakkepat, P. and L. Jing, 2006. Improved particle filter in sensor fusion for tracking random moving object. IEEE Trans. Instrument. Measure., 55: 1823-1832.
CrossRefDirect Link - Liu, J.S., 2008. Monte Carlo Strategies in Scientific Computing. Springer-Verlag, New York, USA., ISBN-10: 0387952306, pp: 360.
Direct Link - Zheng, N., Y. Pan, X. Yan and R. Huan, 2011. Local weight mean comparison scheme and architecture for high-speed particle filters. Electron. Lett., 47: 142-144.
CrossRefDirect Link - Rollason, M. and D. Salmond, 2001. A particle filter for track-before-detect of a target with unknown amplitude. IEEE Target Track. Algo. Appl., 1: 1-4.
CrossRefDirect Link