| 权值选优粒子滤波的无线传感器网络目标跟踪 |
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| 引用本文： | 刘刚,彭力.权值选优粒子滤波的无线传感器网络目标跟踪[J].传感器与微系统,2011,30(6):30-32,35. |
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| 作者姓名： | 刘刚 彭力 |
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| 作者单位： | 江南大学物联网工程学院,江苏无锡,214122 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 基于动态分簇结构的特点,结合权值选优粒子滤波(PF)算法的优越性,研究了无线传感器网络分布式目标跟踪算法.该方法采用这种改进的粒子滤波算法,利用簇和簇之间的传递关系,获得目标的动态状态.根据当前时刻目标的本地估计位置、预测速度和加速度,获得目标的预测位置.结果表明:此方法相比集中式目标跟踪,能在节省能量消耗的基础上,比...
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| 关 键 词： | 无线传感器网络 权值选优 粒子滤波 目标跟踪 |
Target tracking in WSNs based on excellent weight selected particle filter |
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| LIU Gang,PENG Li.Target tracking in WSNs based on excellent weight selected particle filter[J].Transducer and Microsystem Technology,2011,30(6):30-32,35. |
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| Authors: | LIU Gang PENG Li |
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| Affiliation: | (School of Internet of Things,Jiangnan University,Wuxi 214122,China) |
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| Abstract: | Based on characteristics of dynamic clustering structure and combined with superiority of particle filter of selecting excellent weight,distributed target tracking algorithm in WSNs is studied.This method uses the improved particle filter(PF) and the transfer relationship between cluster and cluster to obtain the dynamic state of the target.According to current local estimation position,the predicting speed and acceleration are combined to achieve the predicting position.The result shows that this method can not only save more energy than centralized target tracking but also improve the tracking precision about 60 %. |
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| Keywords: | wireless sensor networks(WSNs) excellent weight selected particle filter target tracking |
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