A multiple maneuvering targets tracking algorithm based on a generalized pseudo-Bayesian estimator of first order

Shi-cang ZHANG; Jian-xun LI; Liang-bin WU; Chang-hai SHI

doi:10.1631/jzus.C1200310

Your Location：

Home >

Browse articles >

A multiple maneuvering targets tracking algorithm based on a generalized pseudo-Bayesian estimator of first order

Computer & Automation | Updated：2022-05-19

- A multiple maneuvering targets tracking algorithm based on a generalized pseudo-Bayesian estimator of first order
- A multiple maneuvering targets tracking algorithm based on a generalized pseudo-Bayesian estimator of first order
- Frontiers of Information Technology & Electronic Engineering Vol. 14, Issue 6, Pages: 417-424(2013)
- Affiliations：
  
  1.School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  2.Aviation Key Laboratory of Science and Technology on AISSS, AVIC Radar and Avionics Institute, Wuxi 214063, China
- Author bio：
  
  [ "Shi-cang ZHANG, E-mail: zsc700@sohu.com" ]
  [ "Jian-xun LI, lijx@sjtu.edu.cn" ]
  [ "Liang-bin WU, lbwu0105@126.com" ]
  [ "Chang-hai SHI, shi_changhai@sina.com" ]
- Funds：
- DOI：10.1631/jzus.C1200310
  CLC： TP391
- Received：05 November 2012，
  
  Revised：2013-;5-13，
  
  Published：2013-06
- Accepted：
Scan QR Code
Shi-cang ZHANG, Jian-xun LI, Liang-bin WU, et al. A multiple maneuvering targets tracking algorithm based on a generalized pseudo-Bayesian estimator of first order[J]. Frontiers of Information Technology & Electronic Engineering, 2013, 14(6): 417-424.
DOI：

Shi-cang ZHANG, Jian-xun LI, Liang-bin WU, et al. A multiple maneuvering targets tracking algorithm based on a generalized pseudo-Bayesian estimator of first order[J]. Frontiers of Information Technology & Electronic Engineering, 2013, 14(6): 417-424. DOI： 10.1631/jzus.C1200310.

摘要

Abstract

We describe the design of a multiple maneuvering targets tracking algorithm under the framework of Gaussian mixture probability hypothesis density (PHD) filter. First

a variation of the generalized pseudo-Bayesian estimator of first order (VGPB1) is designed to adapt to the Gaussian mixture PHD filter for jump Markov system models (JMS-PHD). The probability of each kinematic model

which is used in the JMS-PHD filter

is updated with VGPB1. The weighted sum of state

associated covariance

and weights for Gaussian components are then calculated. Pruning and merging techniques are also adopted in this algorithm to increase efficiency. Performance of the proposed algorithm is compared with that of the JMS-PHD filter. Monte-Carlo simulation results demonstrate that the optimal subpattern assignment (OSPA) distances of the proposed algorithm are lower than those of the JMS-PHD filter for maneuvering targets tracking.

关键词

Keywords

references

Y. Bar-Shalom , , , K.C. Chang , , , H.A.P. Blom . . Tracking a maneuvering target using input estimation versus the interacting multiple model algorithm . . IEEE Trans. Aerosp. Electron. Syst. , , 1989 . . 25 ( ( 2 ): ): 296 - - 300 . . DOI: 10.1109/7.18693 http://doi.org/10.1109/7.18693 . .

Y. Bar-Shalom , , , X.R. Li , , , T. Kirubarajan . . Estimation with Applications to Tracking and Navigation . . John Wiley & Sons, Inc., New York, USA , , 2001 . . DOI: 10.1002/0471221279 http://doi.org/10.1002/0471221279 . .

H.A.P. Blom , , , Y. Bar-Shalom . . The interacting multiple model algorithm for systems with Markovian switching coefficients . . IEEE Trans. Automatic Control , , 1988 . . 33 ( ( 8 ): ): 780 - - 783 . . DOI: 10.1109/9.1299 http://doi.org/10.1109/9.1299 . .

X.R. Li , , , V.P. Jilkov . . Survey of maneuvering target tracking . . Part Ⅰ: dynamic models. IEEE Trans. Aerosp. Electron. Syst. , , 2003 . . 39 ( ( 4 ): ): 1333 - - 1364 . . DOI: 10.1109/TAES.2003.1261132 http://doi.org/10.1109/TAES.2003.1261132 . .

R.P.S. Mahler . . Multitarget Bayes filtering via firstorder multitarget moments . . IEEE Trans. Aerosp. Electron. Syst. , , 2003 . . 39 ( ( 4 ): ): 1152 - - 1178 . . DOI: 10.1109/TAES.2003.1261119 http://doi.org/10.1109/TAES.2003.1261119 . .

R.P.S. Mahler . . Statistical Multisource Multitarget Information Fusion . . Artech House, Norwood, MA , , 2007 . . .

S.A. Pasha , , , B.N. Vo , , , H.D. Tuan , , , W.K. Ma . . A Gaussian mixture PHD filter for jump Markov system models . . IEEE Trans. Aerosp. Electron. Syst. , , 2009 . . 45 ( ( 3 ): ): 919 - - 936 . . DOI: 10.1109/TAES.2009.5259174 http://doi.org/10.1109/TAES.2009.5259174 . .

E. Pollard , , , B. Pannetier , , , M. Rombaut . . Hybrid algorithms for multitarget tracking using MHT and GM-CPHD . . IEEE Trans. Aerosp. Electron. Syst. , , 2011 . . 47 ( ( 2 ): ): 832 - - 847 . . DOI: 10.1109/TAES.2011.5751229 http://doi.org/10.1109/TAES.2011.5751229 . .

D. Schuhmacher , , , B.T. Vo , , , B.N. Vo . . A consistent metric for performance evaluation of multi-object filters . . IEEE Trans. Signal Process. , , 2008 . . 56 ( ( 8 ): ): 3447 - - 3457 . . DOI: 10.1109/TSP.2008.920469 http://doi.org/10.1109/TSP.2008.920469 . .

B.N. Vo , , , W.K. Ma . . The Gaussian mixture probability hypothesis density filter . . IEEE Trans. Signal Process. , , 2006 . . 54 ( ( 11 ): ): 4091 - - 4104 . . DOI: 10.1109/TSP.2006.881190 http://doi.org/10.1109/TSP.2006.881190 . .

B.N. Vo , , , A. Pasha , , , H.D. Tuan . . A Gaussian Mixture PHD Filter for Nonlinear Jump Markov Models . . Proc. 45th IEEE Conf. on Decision and Control , , 2006 . . p.3162 - - 3167 . . DOI: 10.1109/CDC.2006.377103 http://doi.org/10.1109/CDC.2006.377103 . .

B.N. Vo , , , B.T. Vo , , , R.P.S. Mahler . . Closed-form solutions to forward-backward smoothing . . IEEE Trans. Signal Process. , , 2012 . . 60 ( ( 1 ): ): 2 - - 17 . . DOI: 10.1109/TSP.2011.2168519 http://doi.org/10.1109/TSP.2011.2168519 . .

J. Wu , , , S. Hu , , , Y. Wang . . Probability-hypothesisdensity filter for multitarget visual tracking with trajectory recognition . . Opt. Eng. , , 2010 . . 49 ( ( 12 ): ): 129701 DOI: 10.1117/1.3518084 http://doi.org/10.1117/1.3518084 . .

H. Zhang , , , Z. Jing , , , S. Hu . . Gaussian mixture CPHD filter with gating technique . . Signal Process. , , 2009 . . 89 ( ( 8 ): ): 1521 - - 1530 . . DOI: 10.1016/j.sigpro.2009.02.006 http://doi.org/10.1016/j.sigpro.2009.02.006 . .

S.C. Zhang , , , J.X. Li , , , L.B. Wu . . An Improvement to the Linear Jump Markov System Gaussian Mixture Probability Hypothesis Density Filter for Maneuvering Target Tracking . . 7th IEEE Conf. on Industrial Electronics and Applications , , 2012 . . p.1810 - - 1815 . . DOI: 10.1109/ICIEA.2012.6361021 http://doi.org/10.1109/ICIEA.2012.6361021 . .

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

No data

Related Author

Qiang Guo

Long Teng

Xinliang Wu

Wenming Song

Dayu Huang

Related Institution

College of Information and Communication Engineering, Harbin Engineering University

China National Aeronautical Radio Electronics Research Institute

Chat

Address：Zhejiang University Press, 148 Tianmushan Road, Hangzhou, China Postal code：310028
Tel：+86-571-88273162 Email：fitee@zju.edu.cn
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰