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文章摘要
变电站非视距环境移动目标实时精准定位方法
Real-time precise positioning method for moving targets in non-line-of-sight environment of substation
Received:June 27, 2019  Revised:June 27, 2019
DOI:DOI: 10.19753/j.issn1001-1390.2020.22.007
中文关键词: 变电站  无线传感器网络  移动目标  实时定位方法  误差概率
英文关键词: substation  wireless sensor network  moving target  real-time positioning method  error probability
基金项目:国家电网公司总部科技项目
Author NameAffiliationE-mail
Yang Weimin School of Electrical Engineering and Automation,Wuhan University 1558779607@qq.com 
Zhou Wenjun* School of Electrical Engineering and Automation,Wuhan University wjzhou@whu.edu.cn 
Li Liang State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology,Beijing Smart-Chip Microelectronics Technology CoLtd Beijing liliangbj@163.com 
Yu Jianhui School of Electrical Engineering and Automation,Wuhan University whnike2523@qq.com 
Zhang Xiyang School of Electrical Engineering and Automation,Wuhan University xyzhang1994@qq.com 
Zou Hongsen Maintenance Company of State Grid Ningxia Electric Power Co.,Ltd. zouhongsen@jx.nx.sgcc.com.cn 
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中文摘要:
      在基于无线传感器网络的变电站移动目标定位系统中,测量信号的传播路径容易受到变电站内各种设备的遮挡,导致测量误差增大,影响最终定位精度。针对现有实时定位算法受测量误差影响较大这一现状,本文提出了一种受测量误差影响较小的新型高精度定位方法,实现在变电站内对移动目标的精准定位。根据定位锚点提供的测量信息,采用两步线性最小二乘法初定位。引入误差概率算法,对初定位结果进行二次处理,求解出的概率最大点即为待定位目标的最优位置估计。进行仿真分析与实验验证,与现有算法进行比较。文中提出的算法在变电站环境下,将每一单一坐标误差控制在30cm以内,相较于现有实时定位方法,定位精度提升了50%以上。结果表明该定位方法能够有效提升在变电站环境下定位结果的准确性。
英文摘要:
      In wireless sensor network(WSN) based positioning system in substation, the propagation path of the measurement signal is easily blocked by various devices in the substation, which leads to an increase in measurement error and affects the final positioning accuracy. In view of the fact that the existing real-time positioning algorithm is greatly affected by the measurement error, this paper proposes a new high-precision positioning method. This algorithm is less affected by the measurement error and can achieve accurate positioning of moving targets in the substation. The two-step linear least squares method is used for preliminary positioning, and the error probability algorithm is introduced to process the initial positioning result. The maximum probability point is the optimal position estimation of the target to be positioned. Simulation analysis and experimental verification were carried out, and compared with existing algorithms. The algorithm proposed in this paper controls each single coordinate error within 30cm in the substation environment. Compared with the existing real-time positioning algorithm, the positioning accuracy is improved more than 50%. The results show that the proposed real-time positioning method can effectively improve the accuracy of positioning results in substation environment.
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