The Target Tracking of Wireless Sensor Network Using an Improved Unscented Particle Filter
Taoyun Zhou, Pingyuan Liang, Yun Cheng
Available Online April 2015.
- 10.2991/meic-15.2015.5How to use a DOI?
- wireless sensor network WSN; Dynamic cluster; target tracking; Particle filter(PF); unscented particle filter (UPF)
Based on the analysis of Particle Filter (PF), this paper proposed an improved unscented particle filter (UPF) algorithm by utilizing unscented Kalman filter (UKF) to obtain an importance density function. This algorithm clustered the sensor network nodes through dynamic organization. Moreover, the single target moving uniformly and linearly in the network was tracked by applying the UPF into the target tracking of Wireless Sensor Network (WSN). Finally, a simulation comparison between UPF and PF was conducted using MATLAB. Simulation results showed that the improved UPF was capable of improving the utilization efficiency of particles and presented a stable tracking performance.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Taoyun Zhou AU - Pingyuan Liang AU - Yun Cheng PY - 2015/04 DA - 2015/04 TI - The Target Tracking of Wireless Sensor Network Using an Improved Unscented Particle Filter BT - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 17 EP - 20 SN - 2352-5401 UR - https://doi.org/10.2991/meic-15.2015.5 DO - 10.2991/meic-15.2015.5 ID - Zhou2015/04 ER -