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An Indoor Ultrasonic Positioning System Based on TOA for Internet of Things

机译:基于TOA的物联网室内超声波定位系统

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摘要

With the development of Internet of Things, the position information of indoor objects becomes more important for most application scenarios. This paper presents an ultrasonic indoor positioning system, which can achieve centimeter-level precise positioning of objects moving indoors. Transmitting nodes, receiving nodes, and display control terminal are needed to constitute the entire system. The system is based on long-baseline positioning technology that uses code division multiplexing access mechanism. There is no limit to the number of receiving nodes as the system works in the up-transmit-down-receive mode. Positioning of a receiving node is found based on ultrasonic Time of Arrival ranging technology. To accurately determine the positioning, theremust be at least four or five transmitting nodes. The working radius will not be less than 5 meters when the height is larger than 3 meters. The system uses wideband pseudorandom noise signal called Gold sequences for multiuser identification and slant rangemeasurement. The paper first gives a brief introduction of popular indoor ultrasonic positioningmethods and then describes the theory of proposed algorithm and provides the simulation results. To examine the correctness of the approach and its practicality, the practical implementation and experimental results are provided also in the paper.
机译:随着物联网的发展,室内物体的位置信息对于大多数应用场景变得越来越重要。本文提出了一种超声波室内定位系统,该系统可以实现在室内移动物体的厘米级精确定位。需要发送节点,接收节点和显示控制终端来构成整个系统。该系统基于采用码分多路复用访问机制的长基线定位技术。当系统在上-下-下-接收模式下工作时,接收节点的数量没有限制。基于超声到达时间测距技术,可以找到接收节点的位置。为了准确地确定位置,必须至少有四个或五个发送节点。高度大于3米时,工作半径将不小于5米。该系统使用称为Gold序列的宽带伪随机噪声信号进行多用户识别和斜距测量。本文首先简要介绍了常用的室内超声定位方法,然后介绍了所提出的算法的原理并提供了仿真结果。为了检验该方法的正确性及其实用性,还提供了实际的实现方法和实验结果。

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  • 来源
    《Mobile Information Systems》 |2016年第5期|4502867.1-4502867.10|共10页
  • 作者单位

    Hohai Univ, Coll Internet Things Engn, Changzhou 213022, Peoples R China|Chinese Acad Sci, Inst Acoust, State Key Lab Acoust, Beijing 100190, Peoples R China;

    Hohai Univ, Coll Internet Things Engn, Changzhou 213022, Peoples R China;

    Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada;

    Zhejiang Univ, Ocean Coll, Zhoushan 316021, Peoples R China;

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