Approximate stochastic dynamic programming for sensor scheduling to track multiple targets-Reference-Cited by-同舟云学术

Approximate stochastic dynamic programming for sensor scheduling to track multiple targets

Published:2009-12 Issue:6 Volume:19 Page:978-989
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Li Y.,Krakow L.W.,Chong E.K.P.,Groom K.N.

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

Reference27 articles.

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

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

5. Algorithms for optimal scheduling of hidden Markov model sensors;Krishnamurthy;IEEE Trans. Signal Process.,2002

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