Target tracking based on the extended H-infinity filter in wireless sensor networks  

作　　者：Xingbo WANG Huanshui ZHANG Xiangyuan JIANG Yawei YANG 

机构地区：[1]School of Control Science and Engineering, Shandong University, Jinan Shandong 250061, China

出　　处：《控制理论与应用（英文版）》2011年第4期479-486,共8页

基　　金：supported by the National Science Foundation for Distinguished Young Scholars of China (No. 60825304);the Taishan Scholar Program of Shandong Province;the National Basic Research Development Program of China (973Program) (No. 2009cb320600);the Open Project of State Key Laboratory of Industrial Control Technology in Zhejiang University (No. ICT1006)

摘　　要：In this paper, we propose a new target tracking approach for wireless sensor networks (WSNs) by using the extended H-infinity filter. First, the extended H-infinity filter for nonlinear discrete-time systems is deduced through the Krein space analysis scheme. Then, the proposed extended H-infinity filtering algorithm is applied to target tracking in wireless sensor networks. Finally, experiments are conducted through a small wireless sensor network test-bed. Both experimental and simulation results illustrate that the extended H-infinity filtering algorithm is more accurate to track a moving target in wireless sensor networks than using the extended Kalman filter in the case of having no knowledge of the statistics of the environment and the target to be tracked.In this paper, we propose a new target tracking approach for wireless sensor networks （WSNs） by using the extended H-infinity filter. First, the extended H-infinity filter for nonlinear discrete-time systems is deduced through the Krein space analysis scheme. Then, the proposed extended H-infinity filtering algorithm is applied to target tracking in wireless sensor networks. Finally, experiments are conducted through a small wireless sensor network test-bed. Both experimental and simulation results illustrate that the extended H-infinity filtering algorithm is more accurate to track a moving target in wireless sensor networks than using the extended Kalman filter in the case of having no knowledge of the statistics of the environment and the target to be tracked.

关 键 词：无线传感器网络 目标跟踪方法 无穷远 过滤器 非线性离散时间系统 KREIN空间 扩展卡尔曼滤波 基础 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TN953[自动化与计算机技术—控制科学与工程]