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[1]余修武,刘琴,张枫,等.基于UKF的深井监测移动节点定位算法[J].中国安全生产科学技术,2017,13(9):72-76.[doi:10.11731/j.issn.1673-193x.2017.09.011]
　YU Xiuwu,LIU Qin,ZHANG Feng,et al.Positioning algorithm for mobile nodes monitoring in deep mine based on UKF[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(9):72-76.[doi:10.11731/j.issn.1673-193x.2017.09.011]
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基于UKF的深井监测移动节点定位算法()
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
13
期数:
2017年9期
页码:
72-76
栏目:
现代职业安全卫生管理与技术
出版日期:
2017-09-30

文章信息/Info

Title:
Positioning algorithm for mobile nodes monitoring in deep mine based on UKF
文章编号:
1673-193X(2017)-09-0072-05
作者:
余修武1; 2; 3; 刘琴1; 2; 3; 张枫1; 2; 3; 周利兴1; 2; 3; 胡沐芳1; 3; 张可1; 3
（1.南华大学 环境保护与安全工程学院，湖南 衡阳 421001；2.金属矿山安全与健康国家重点实验室，安徽 马鞍山 243000；3.湖南省铀尾矿库退役治理技术工程技术研究中心，湖南 衡阳 421001）
Author(s):
YU Xiuwu1; 2; 3;  LIU Qin1; 2; 3;  ZHANG Feng1; 2; 3;  ZHOU Lixing1; 2; 3;  HU Mufang1; 3;  ZHANG Ke1; 3
(1. School of Environmental Protection and Safety Engineering, University of South China, Hengyang Hunan 421001, China;2. State Key Laboratory of Safety and Health for Metal Mines, Maanshan Anhui 243000, China; 3. Hunan Engineering Technology Research Center for Uranium Tailings Decommission and Treatment, Hengyang Hunan 421001, China)
关键词:
无线传感器网络; 深矿井; UKF; 定位; 移动节点
Keywords:
wireless sensor network;  deep mine;  UKF;  positioning;  mobile node
分类号:
X913
DOI:
10.11731/j.issn.1673-193x.2017.09.011
文献标志码:
A
摘要:
针对线性系统理论的监测定位技术误差较大且又无法实时监测深井人员及移动设备的位置问题，提出一种基于非线性函数不敏卡尔曼滤波（UKF）移动节点定位算法（U-MPA）。在建立U-MPA监测系统及巷道模型的基础上，采用UKF方法对RSSI滤波测距，通过局部坐标系，实现对移动节点实时定位监测；同时，通过改变锚节点间距密度，实现不同定位精度要求。仿真实验表明：U-MPA算法相比RSSI算法定位误差有明显减小，U-MPA算法的平均定位偏差为RSSI算法的44%。
Abstract:
Aiming at the problems that the monitoring positioning technology of linear system theory has a large error and can’t monitor the positions of personnel and mobile equipments in deep mine in real-time, a positioning algorithm for mobile nodes based on the nonlinear function unscented kalman filter (UKF) was put forward, namely U-MPA. On the basis of establishing the U-MPA monitoring system and the roadway model, the UKF method was applied to filter ranging for RSSI, and the positioning monitoring of the mobile nodes in real-time was realized through the local coordinate system. Meanwhile, different positioning accuracy requirements were achieved by changing the spacing density of anchor node. The simulation experiments showed that the positioning error of U-MPA algorithm was significantly smaller compared with RSSI algorithm, and the average positioning deviation of U-MPA algorithm was 44% of that by RSSI algorithm.

参考文献/References:

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备注/Memo

备注/Memo:
金属矿山安全与健康国家重点实验室开放基金项目(2016-JSKSSYS-04)；湖南省教育厅科研重点项目(15A161)；湖南省重点研发项目(2015SK2005)；南华大学环境保护与安全工程学院研究生科研创新项目(2017YCXXM08)；南华大学大学生研究性学习和创新性实验计划项目（2017XJYZ029）
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