A two-phase ranging algorithm for sensor localization in structural health monitoring
A two-phase ranging algorithm for sensor localization in structural health monitoring
复制标题
结构健康监测中传感器定位的两阶段测距算法
DOI：
10.1177/1687814016685964
复制
发表时间：
2016-12
影响因子：
2.1
通讯作者：
Xue Songtao
中科院分区：
文献类型：
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作者：
Wan Chunfeng;Zhao Lei;Ding Youliang;Xue Songtao
传感器网络中传感器的位置信息是非常重要的，越来越多的传感器的部署增加了对自动传感器定位的需求。因此，本文描述了一种新的两阶段测距算法，首先获得粗略估计的距离传感器的位置使用到达时间差或到达时间的方法，然后获得高分辨率的估计的基础上，使用基于相位的测距方案的粗略的。该算法可以很容易地解决定位系统中经常出现的难以解决的整周模糊度问题，实验结果表明，该算法可以大大降低具有发射机信标和接收机节点的分布式基于距离的定位系统的测距误差。文中还讨论了信号滤波和多径效应等相关问题。该算法可以使大量传感器的部署非常简单，并且它们的位置的确定非常准确，从而可以使用密集的传感器网络来监测大型结构的结构完整性。
Information about the positions of the sensors in sensor networks is very important, and the deployment of more and more sensors is increasing the need for automatic sensor localization. This article therefore describes a novel two-phase ranging algorithm that first obtains rough estimate of the distance to a sensor’s position using time difference of arrival or time of arrival methods and then obtains a high-resolution estimate based on the rough one using a phase-based ranging scheme. This algorithm can easily resolve the otherwise intractable integer ambiguity that often appears in localization systems, and experimental results show that it can greatly decrease the ranging error in a decentralized distance-based localization system having transmitter beacons and receivers in the nodes. Related problems such as signal filtering and multipath effect are also discussed. This algorithm can make the deployment of large numbers of sensors very simple and the determination of their positions so accurate that it would be feasible to use dense networks of sensors to monitor the structural integrity of large structures.
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DOI：
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发表时间：
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期刊：
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影响因子：
--
作者：
通讯作者：
--
影响因子：
2.3
作者：
C. Wan;A. Mita;S. Xue
通讯作者：
C. Wan;A. Mita;S. Xue
DOI：
10.1109/98.626982
发表时间：
1997-10-01
期刊：
IEEE PERSONAL COMMUNICATIONS
影响因子：
--
作者：
Ward, A;Jones, A;Hopper, A
通讯作者：
Hopper, A
影响因子：
2.4
作者：
Yi, Ting-Hua;Li, Hong-Nan;Gu, Ming
通讯作者：
Gu, Ming
影响因子：
2.4
作者：
Jun Li;H. Hao;Zhi-Wei Chen
通讯作者：
Jun Li;H. Hao;Zhi-Wei Chen