GAO Fei, REN He, WANG Jun, et al., “A Novel Refined Track Initiation Algorithm for Group Targets Based on Group Model,” Chinese Journal of Electronics, vol. 23, no. 4, pp. 851-856, 2014,
 Citation: GAO Fei, REN He, WANG Jun, et al., “A Novel Refined Track Initiation Algorithm for Group Targets Based on Group Model,” Chinese Journal of Electronics, vol. 23, no. 4, pp. 851-856, 2014,

# A Novel Refined Track Initiation Algorithm for Group Targets Based on Group Model

Funds:  This work is supported by the National Natural Science Foundation of China (No.61071139, No.60702011), the Foundation of ATR Key Lab, the Fundamental Research Funds for the Central Universities, New Star in Blue Sky Program Foundation, and the Royal Society of Edinburgh (RSE) and the National Natural Science Foundation of China (NNSFC) under the RSE-NNSFC Joint Project (2012-2014) (No.61211130309) with the University of Stirling, Scotland, SK.
• Rev Recd Date: 2013-07-01
• Publish Date: 2014-10-05
• Traditional refined track initiation methods for group targets have mistakes or loss of tracks when tracking irregular motions, for the reason that they rely on a stable relative position of group members. To solve the problem, a group dynamic model was introduced for proposing a new initiation algorithm and its whole framework. We made a self-adaptive improvement of the group separation on various group radii. After the pre-association of these groups, a state equation derived from the model was used for predictions of group members. Then a relational matrix was defined for refined data associations. Finally tracks were validated by logic-based method. Particular scenarios and Monte Carlo simulations showed that, compared with algorithms based on relative position, this algorithm has better performance on the adaptability to changes of a group structure and the correctness of initiation.
•  C.Y. Yang, J.M. Qu, S.Y. Mao, et al., An initialization method for group tracking, Proceedings of IEEE National Aerospace & Electronics Conference, Dayton, OH, USA, pp.303-308, 1995. S.K. Pang, J. Li and S.J. Godsill, Detection and tracking of coordinated groups, IEEE Transactions on Aerospace and Electronic Systems, Vol.47, No.1, pp.472-502, 2011. A. Farina and F.A. Studer, Radar Data Processing, Research Studies Press, Letchworth, UK, 1985. B.D. Carlson, E.D. Evans and S.L. Wilson, Search radar detection and track with the Hough transform. III. detection performance with binary integration, IEEE Transactions on Aerospace and Electronic Systems, Vol.30, No.1, pp.116-125, 1994. J.T. Tou and R.C. Gonzalez, Pattern Recognition Principles, Addison-Wesley Publishing Company, New Jersey, USA, 1974. H. Wang, D. Wang, L. Tian, et al., A new algorithm for group tracking, Proceedings of 2001 CIE International Conference on Radar, Beijing, China, pp.1159-1163, 2001. Y. He, H.P. Wang, W. Xiong, et al., Gray refined track initiation algorithm of group targets based on relative position vector, Acta Aeronautica et Astronautica Sinica, Vol.33, No.10, pp.1850-1863, 2012. (in Chinese) Y. He, J.J. Xiu, J. Zhang, et al., Radar Data Processing with Applications, Publishing House of Electronics Industry, Beijing, China, 2006. J. Bai, G.H. Wang, M. Kong, et al., Study on data association methods for distributed passive sensors with long baseline, Chinese Journal of Electronics, Vol.18, No.2, pp.270-274, 2009. G. Lei, T. Bin and L. Gang, Data association based on target signal classification information, Journal of Systems Engineering and Electronics, Vol.19, No.2, pp.246-251, 2008. T. Fortmann, Y. Bar-Shalom and M. Scheffe, Sonar tracking of multiple targets using joint probabilistic data association, IEEE Journal of Oceanic Engineering, Vol.8, No.3, pp.173-184, 1983. Y. Bar-Shalom, Tracking and Data Association, Academic Press Professional, Inc. San Diego, CA, USA, 1987. K.C. Chang, C.Y. Chong and Y. Bar-Shalom, Joint probabilistic data association in distributed sensor networks, IEEE Transactions on Automatic Control, Vol.31, No.10, pp.889-897, 1986.

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沈阳化工大学材料科学与工程学院 沈阳 110142