计算机应用研究2017，Vol.34Issue(5)：1476-1479,4.DOI:10.3969/j.issn.1001-3695.2017.05.045
基于改进粒子滤波的井下跟踪算法研究与实现
Research and implementation on underground tracking algorithm based on improved particle filter
摘要
Abstract
The downhole environment is complicated,RF signal is influenced by shadow effect,multipath fading,etc.Tracking error of using traditional method is bigger,this paper studied an improved downhole tracking algorithm,which optimized the particle filter algorithm.In initialization phase,it used first positioning results of fingerprint matching algorithm to design initial probability distribution function.By using the method that the kernel function method combined with fingerprint matching technique,it searched the location which matched with fingerprint feature of the target node in the sampled data and put the weighted coordinates as observed values in the track.Finally by utilizing particle filter to combine observed values with target motion state,it tracked the target motion trajectory.The experimental results show that,particle filter algorithm is more suitable than improved Kalman filtering algorithm for the coal mine tracking.The improved algorithm effectively enhances the reliability of the tracking system,increases the tracking accuracy and satisfies the requirement of underground track.关键词
井下跟踪/无线传感器网络/接收信号强度/指纹匹配/核函数/粒子滤波Key words
downhole tracking/wireless sensor network/received signal strength indicator/fingerprint matching/kernel function/particle filter分类
信息技术与安全科学引用本文复制引用
崔丽珍,吴迪,赫佳星,邬嵩..基于改进粒子滤波的井下跟踪算法研究与实现[J].计算机应用研究,2017,34(5):1476-1479,4.基金项目
内蒙古自治区科技计划资助项目(201502013-1) （201502013-1）
内蒙古自治区自然基金资助项目(2015MS0623) （2015MS0623）
