基于Bootstrap采样粒子滤波的WirelessHART时间同步算法  

Time synchronization algorithm based on Bootstrap sampling and particle filter for Wireless HART

作　　者：高子林[1] 熊江[1] 潘勇[1] 李洪兵[1] 

机构地区：[1]重庆三峡学院计算机科学与工程学院,重庆404100

出　　处：《计算机应用研究》2017年第3期832-834,共3页Application Research of Computers

基　　金：国家自然科学基金资助项目(61273219);中国博士后科学基金资助项目(160560);重庆市教委科学技术研究项目(KJ1710244;KJ1710257;KJ1601003;KJ1603303;KJ1401029;KJ1401002;KJ1401008);重庆市科委基础与前沿项目(CSTC2014JCYJ1316);重庆三峡学院科学研究项目(14QN30;15QN09)

摘　　要：针对无线HART传感器网络时间同步精度较低、能耗过大等问题,提出了一种基于Bootstrap采样的粒子滤波时间同步算法。在未知网络延迟分布的情况下,为了减少观测次数,对发送端和接收端的时间戳观测值进行Bootstrap采样,采用混合粒子滤波算法,获得精确的时钟偏移,不仅降低了无线HART传感网络时间同步误差,而且使能耗减小。实验表明,对于无线HART网状分层网络,当观测量达到10以上时,粒子滤波算法获得的时间偏差的均方误差约是最大似然估计算法的50%,而基于Bootstrap采样的粒子滤波算法获得的时间偏差的均方误差约是最大似然估计算法的35%,验证了方法的可行性和有效性。For the issues of excessive energy consumption and the low accuracy of time synchronization in the entire wireless HART sensor network,this paper proposed a novel time synchronization algorithm based on particle filter by Bootstrap sampling. Under the scenario of delay distribution in unknown network,in order to reduce the times of observations,it used the hybrid particle filter algorithm to obtain precise clock offset by the timestamp observations from the sender and the receiver are sampled by the Bootstrap sampling. It not only reduced the time synchronization error of wireless HART sensor network,but also decreased the energy consumption. Finally,the experiments show that the mean square error values of time deviation obtained from the particle filter algorithm are just 50% of the algorithm of maximum likelihood estimation when observed quantity is higher than 10 for wireless HART mesh hierarchical network. However,the same mean square error values of time deviation obtained from Bootstrap sampling based particle filter algorithm are only 35% of the algorithm of maximum likelihood estimation,and the simulation results show the feasibility and validity of the algorithm.

关 键 词：无线HART传感网络 时间同步 Bootstrap采样 粒子滤波 最大似然估计 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP301.6[自动化与计算机技术—计算机科学与技术]