A study of a new data association and track initiation method with normalized distance squared ordering

Author:

Kim Seung-Woo,Lim Young-Taek,Song Taek-Lyul

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Control and Systems Engineering

Reference10 articles.

1. X. R. Li and Y. Bar-Shalom, “Tracking in clutter with nearest neighbor filter: Analysis and performance,” IEEE Trans. on Aerospace and Electronic Systems, vol. AES-32, no. 3, pp. 995–1010, July 1996.

2. T. L. Song and D. G. Lee, “A probabilistic nearest neighbor filter algorithm for m validated measurement,” IEEE Trans. on Signal Processing, vol. 54, no. 7, pp. 2797–2802, July 2006.

3. X. R. Li, “Tracking in clutter with strongest neighbor measurement-Part I: theoretical analysis,” IEEE Trans. on Automatic Control, vol. AC-43, no. 11, pp. 1560–1578, November 1998.

4. T. L. Song, Y. T Lim, and D. G. Lee, “A probabilistic strongest neighbor filter algorithm for m validated measurement,” IEEE Trans. on Aerospace and Electronic System, vol. 45, no. 2, pp. 431–442, April 2009.

5. T. Kirubarajan and Y. Bar-Shalom, “Probabilistic data association techniques for target tracking in clutter,” Proceedings of IEEE, vol. 92, no. 3, pp. 536–557, March 2004.

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