计算机应用研究2017，Vol.34Issue(3)：832-834,3.DOI:10.3969/j.issn.1001-3695.2017.03.044
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 WirelessHART
摘要
Abstract
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 sampiing.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Key words
wireless HART sensor network/time synchronization/Bootstrap sampling/particle filter/maximum likelihood estimation分类
信息技术与安全科学引用本文复制引用
高子林,熊江,潘勇,李洪兵..基于Bootstrap采样粒子滤波的WirelessHART时间同步算法[J].计算机应用研究,2017,34(3):832-834,3.基金项目
国家自然科学基金资助项目(61273219) （61273219）
中国博士后科学基金资助项目(160560) （160560）
重庆市教委科学技术研究项目(KJ1710244,KJ1710257,KJ1601003,KJ1603303,KJ1401029,KJ1401002,KJ1401008) （KJ1710244,KJ1710257,KJ1601003,KJ1603303,KJ1401029,KJ1401002,KJ1401008）
重庆市科委基础与前沿项目(CSTC2014JCYJ1316) （CSTC2014JCYJ1316）
重庆三峡学院科学研究项目(14QN30,15QN09) （14QN30,15QN09）
