Application of a Randomized-Finite Set Statistics Technique (R-FISST) to Space Situational Awareness

Author:

Faber W. R.,Mishra U. R.,Chakravorty S.ORCID,Hussein I. I.

Publisher

Springer Science and Business Media LLC

Subject

Space and Planetary Science,Aerospace Engineering

Reference24 articles.

1. Bar-Shalom, Y., Fortmann, T.: Tracking and Data Association. Academic Press, San Diego (1988)

2. Bergman, N., Doucet, A.: Markov chain Monte Carlo data association for target tracking. In: Proc. ICASSP (2000)

3. Blackman, S.: Multiple hypothesis tracking for multiple target tracking. IEEE Trans. Aerosp. Electron. Syst. 19, 5–19 (2004)

4. Chakravorty, S., Faber, W.R., Hussein, I.I., Mishra, U.R.: A belief space perspective of RFS based multi-target tracking and its relationship to MHT

5. Cong, S., et al.: Markov chain Monte Carlo approach for association probability evaluation. Proc. IEEE 151, 185–193 (2004)

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