An Improved Joint Target Tracking and Classification Algorithm Based on Data Fusion

Abstract:

This paper addresses the problem of the joint target tracking and classification based on data fusion. In traditional methods, a separate suite of sensors and system models are used, target tracking and target classification are usually treated as separate problems. In our JTC framework, the link between target state and class is considered and the feasibility of JTC techniques is discussed. The tracking accuracy and classification probability are improved to some extent with the more accurate classification results from classifier based on data fusion feedback to state filter.

• Periodical: Advanced Materials Research (Volume 904)
• Pages: 325-329
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.904.325
• Online since: March 2014
• Authors: Hong Wei Quan*, Lin Chen, Dong Liang Peng
• Keywords: Bayesian Filter, Data Fusion, Joint Tracking and Classification (JTC), Target Tracking

References

[1] Herman, S., Moulin, P. A particle filtering approach to FM-band passive radar tracking and automatic target recognition [C]. Proceedings of the IEEE Aerospace Conference, 2002, Vol. 4: 1789-1808.

DOI: 10.1109/aero.2002.1036892

[2] Mei, W., Shan, G. L., Li, X. R. Simultaneous tracking and classification: a modularized scheme [J]. IEEE Transactions on Aerospace and Electronic Systems, 2007, 43(2): 581-597.

DOI: 10.1109/taes.2007.4285355

[3] Herman, S. M. A particle filter approach to joint passive radar tracking and target classification [D]. Ph. D. dissertation: Graduate College of the University of Illinois, (2002).

[4] Chang, K. C., Fung, R. Target identification with Bayesian network in a multiple hypothesis tracking system [J]. Optical Engineering, 1997, 36(3): 684-691.

DOI: 10.1117/1.601266

[5] Challa, S., Pulford, G. W. Joint target tracking and classification using Rader and ESM sensors [J]. IEEE Transactions on Aerospace and Electronic Systems, 2001, 37(3): 1039-1055.

DOI: 10.1109/7.953266

[6] Jacobs, S. P., O'Sullivan, J. A. High resolution radar models for joint tracking and recognition [C]. IEEE National Radar Conference, Syracuse, NY, 1997, Vol. 3069: 99-104.

DOI: 10.1109/nrc.1997.588189

[7] Miller, M. I., Srivastava, A., Grenander, U. Conditional-mean estimation via jump-diffusion processes in multiple target tracking/recognition [J]. IEEE Transactions on Signal Processing, 1995, 43(11): 2678-2690.

DOI: 10.1109/78.482117

[8] Kastella, K., Zatezalo, A. Nonlinear filtering for tracking low elevation targets in multipath [C]. Proceedings of SPIE on Signal and Data Processing of Small Targets, 1998, Vol. 3373: 452-459.

DOI: 10.1117/12.324638

[9] Mahler, R., Tago, C., Zajic, T., et al. Joint tracking and identification with robustness against unmodeled targets [C]. SPIE proc. in Signal Processing, Sensor Fusion, and Target Recognition, 2003, pp: 279~290.

DOI: 10.1117/12.488537