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非视距条件下的测距信息融合定位方法研究
引用本文:李娅菲朱烜璋. 非视距条件下的测距信息融合定位方法研究[J]. 电子测量与仪器学报, 2015, 29(5): 775-780
作者姓名:李娅菲朱烜璋
作者单位:1. 湖南科技学院 电子与信息工程学院 永州 425100
2. 湖南科技学院 现代教育技术中心 永州 425100
摘    要:为了改善在非视距传播条件下的定位精度,研究和提出了一种测距信息融合定位方法。在NLOS指数分布模型下,利用锚节点传感器测量来自未知节点的接收信号强度、电波到达时间和电波达到角信息,首先将3种测距信息测量值构成一个测距信息集数据库,建立有效的多级联合判决机制,然后利用各自测量量获得相关的距离信息,并进一步利用获得的测距信息进行两两联合求解,剔除异常信息,最后进行加权融合处理得到未知节点坐标。计算机仿真结果表明,本文所提定位方法能有效地抑制NLOS误差,较传统定位方法提高了定位精度。

关 键 词:非视距传播  位置  接收信号强度  电波到达时间  电波达到角

Research on positioning method by ranging information fusion under NLOS condition
Li Yafei Zhu Xuanzhang. Research on positioning method by ranging information fusion under NLOS condition[J]. Journal of Electronic Measurement and Instrument, 2015, 29(5): 775-780
Authors:Li Yafei Zhu Xuanzhang
Affiliation:1.School of Electronic and Information Engineering, Hunan University of Science and Engineering2.Center of Educational Technology, Hunan University of Science and Engineering
Abstract:In order to improve the positioning accuracy under the NLOS (Non Line Of Sight propagation), a joint range based positioning method is proposed. The method uses RSSI (Received Signal Strength Indication), TOA (Time Of Arrival) and AOA (Angle Of Arrival) information measured by the anchor node to construct a ranging information data base firstly. Then an effective multi level decision mechanism is built, and its measurement information is used to obtain the relevant distances. After joint problem is solved by the ranging information, the abnormal information is eliminated. Finally the position of the unknown node is gotten by weighted fusion. The simulation results show that the proposed positioning method can restrain NLOS error effectively, and has better positioning accuracy than that of the traditional methods.
Keywords:NLOS  position  RSSI  TOA  AOA
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