The Target Tracking of Wireless Sensor Network Using an Improved Unscented Particle Filter

被引：0
|
作者：
Zhou, Taoyun [1 ]
Liang, Pingyuan [1 ]
Cheng, Yun [1 ]
机构：
[1] Hunan Univ Humanities Sci & Technol, Dept Informat Sci & Engn, Loudi, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MECHATRONICS, ELECTRONIC, INDUSTRIAL AND CONTROL ENGINEERING | 2015年 / 8卷
关键词：
wireless sensor network(WSN); Dynamic cluster; target tracking; Particle filter(PF); unscented particle filter (UPF);
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：17 / 20
页数：4
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