Improved Particle filter Algorithms for Target Tracking in Binary Wireless Sensor Network

被引：0

作者：

Yang Xiaodong ^{[1
]}

Xiang Fenghong ^{[1
]}

Mao Jianlin ^{[1
]}

Guo Ning ^{[1
]}

机构：

[1] Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650000, Peoples R China

来源：

2011 30TH CHINESE CONTROL CONFERENCE (CCC) | 2011年

关键词：

Wireless Sensor Networks; Target Tracking; Particle Filter; Adaptive-variance;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Particle filter algorithm with adaptive process noise variance is proposed for target tracking applications in binary wireless sensor network (BWSN). The algorithm adopts updated variance of system noise to eliminate the cumulative effect of particle filter prediction error. It has better tracking accuracy when target travel with constant velocity or variable velocity. The simulation results show that the algorithm is superior to the standard particle filter.

引用

页码：4968 / 4971

页数：4

共 7 条

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