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|Title:||Particle filter for target tracking in multi-modality wireless sensor networks||Authors:||Xiao, W.
Ang Jr., M.H.
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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