Cooperative/Parallel Kalman Filtering for Decentralized Network Navigation
Author:
Affiliation:
1. Department of Electronic Engineering, Tsinghua University
2. Space Center, Tsinghua University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Software
Link
https://www.jstage.jst.go.jp/article/transcom/E99.B/9/E99.B_2016EBP3006/_pdf
Reference42 articles.
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2. [2] D. Fontanella, M. Nicoli, and L. Vandendorpe, “Bayesian localization in sensor networks: Distributed algorithm and fundamental limits,” 2010 IEEE International Conference on Communications, pp.1-5, 2010.
3. [3] M. Win, A. Conti, S. Mazuelas, Y. Shen, W. Gifford, D. Dardari, and M. Chiani, “Network localization and navigation via cooperation,” IEEE Commun. Mag., vol.49, no.5, pp.56-62, March 2011.
4. [4] Y. Shen, S. Mazuelas, and M.Z. Win, “Network navigation: Theory and interpretation,” IEEE J. Sel. Areas. Commun., vol.30, no.9, pp.1823-1834, Oct. 2012.
5. [5] S.I. Roumeliotis and G.A. Bekey, “Collective localization: A distributed Kalman filter approach to localization of groups of mobile robots,” Proc. 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation, pp.2958-2965, 2000.
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