Particle filter for target tracking in multi-modality wireless sensor networks

Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICSMC.2008.4811742

Title:	Particle filter for target tracking in multi-modality wireless sensor networks
Authors:	Xiao, W. Nan, F. Zhang, S. Tham, C.K. Ang Jr., M.H. Biswas, J.
Keywords:	Multi-modality sensors Particle filtering Target tracking Wireless sensor network
Issue Date:	2008
Citation:	Xiao, W.,Nan, F.,Zhang, S.,Tham, C.K.,Ang Jr., M.H.,Biswas, J. (2008). Particle filter for target tracking in multi-modality wireless sensor networks. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics : 2927-2931. ScholarBank@NUS Repository. https://doi.org/10.1109/ICSMC.2008.4811742
Abstract:	Most of the target tracking algorithms proposed for wireless sensor networks (WSNs) so far have been relying on sensors of single modality. To integrate multiple sensing modalities (e.g., by using the proximity sensors and ranging sensors together) to improve the tracking performance, the tracking algorithm shall be capable to deal with non-linear and non-Gaussian nature of the tracking problem. In this paper, we present a particle filter algorithm for multi-modality target tracking in WSNs. Simulation results show that the proposed algorithm can provide a good balance among sensor costs and tracking accuracy. © 2008 IEEE.
Source Title:	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
URI:	http://scholarbank.nus.edu.sg/handle/10635/51234
ISSN:	1062922X
DOI:	10.1109/ICSMC.2008.4811742
Appears in Collections:	Staff Publications

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