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基于Kalman滤波的无线传感器网络多目标跟踪
引用本文:夏候凯顺,严娟,叶小朋,余辉荣,邬依林.基于Kalman滤波的无线传感器网络多目标跟踪[J].中山大学学报(自然科学版),2014,53(2):18-22.
作者姓名:夏候凯顺  严娟  叶小朋  余辉荣  邬依林
作者单位:1. 华南理工大学 自动化科学与工程学院,广东 广州 510640;
2. 广东第二师范学院 计算机科学系,广东 广州 510310
基金项目:国家自然科学基金资助项目(61273109);广东省自然科学基金资助项目(S2012010008462)
摘    要:设计无线传感器网络多目标跟踪系统,分析系统跟踪性能的影响因素,提出基于单点观测的扩展卡尔曼滤波(Extended Kalman Filter,EKF)算法和基于Kalman滤波算法预测功能的节点自适应调度策略,并引入多种事件辅助机制。实验结果表明,该算法和调度策略能够实现多目标实时跟踪,且具有减少计算量、缩短测量周期、降低能量消耗、提高跟踪精度等优点。

关 键 词:无线传感器网络  目标跟踪  自适应节点调度  EKF
收稿时间:2013-06-10;

Multi-target Tracking Based on Kalman Filter and WSN
XIAHOU Kaishun,YAN Juan,YE Xiaopeng,YU Huirong,WU Yilin.Multi-target Tracking Based on Kalman Filter and WSN[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2014,53(2):18-22.
Authors:XIAHOU Kaishun  YAN Juan  YE Xiaopeng  YU Huirong  WU Yilin
Affiliation:1. School of Automation Science and Engineering, South China University of  Technology, Guangzhou 510640, China; 
2. Department of Computer Science, Guangdong University of Education, Guangzhou 510310, China
Abstract:A design scheme of multi-target real-time tracking system is presented and factors affecting tracking performance are analyzed.A kind of Extended Kalman Filter(EKF) algorithm based on single observation and self-adaptive node scheduling scheme based on the function of the EKF algorithm is proposed. In addition, many mechanisms and strategies are introduced as auxiliary for trajectory tracking. The experimental result validates the good performance of the tracking algorithm and node scheduling strategy. It has advantages of reducing calculation and energy consumption, shortening measurement period and improving tracking precision.
Keywords:wireless sensor network  target tracking  self-adaptive node scheduling  EKF
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