Sensor scheduling for target tracking: A Monte Carlo sampling approach

Author:

He Ying,Chong Edwin K.P.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference18 articles.

1. Design and Analysis of Modern Tracking Systems;Blackman,1999

2. Optimal sensor selection strategy for discrete-time state estimators;Oshman;IEEE Trans. Aerospace Electron. Syst.,1994

3. A. Logothetis, A. Isaksson, On sensor scheduling via information theoretic criteria, in: Proceedings of the American Control Conference, San Diego, CA, USA, 1999, pp. 2402–2406

4. Multi-target sensor management using alpha-divergence measures;Kreucher,2003

5. D.A. Castañon, Approximate dynamic programming for sensor management, in: Proceedings of the IEEE Conference on Decision and Control, San Diego, CA, USA, 1997, pp. 1202–1207

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