Time-of-arrival-based smartphone localization using visible light communication
Time-of-arrival-based smartphone localization using visible light communication
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DOI：
10.1109/ipin.2017.8115904
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发表时间：
2017-09
期刊：
影响因子：
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通讯作者：
Takayuki Akiyama;M. Sugimoto;H. Hashizume
中科院分区：
文献类型：
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作者：
Takayuki Akiyama;M. Sugimoto;H. Hashizume
我们描述了一个基于到达时间（ToA）的智能手机定位系统。在这个系统中，发射器发射调制发光二极管（LED）光和声波，然后智能手机捕捉它们。智能手机测量声波的飞行时间，并使用乘法定位其位置。LED灯用于可见光通信，它也传达了声发射的时间参考。利用时间参考，我们可以在发送端和接收端之间进行同步，从而实现基于toa的定位。时间同步精度是基于ToA的定位的关键因素。因此，我们提出了使用调制LED灯和智能手机摄像机的SyncSync方法，该方法通过测量声波的飞行时间来实现ToA定位。该方法的定位效果优于到达时差定位方法。然而，我们必须使用专用的光同步装置来实现我们的方法。可见光通信（VLC）正在成为智能手机的热门应用。如果在声学定位中可以使用VLC解调实现时间同步，那么VLC和室内定位就可以集成到一个应用中。本文研究了VLC时间同步用于定位的可行性。然后，使用智能手机应用程序执行基于toa的本地化。在暗室中，三维定位的标准偏差在100mm左右，对于实际应用来说已经足够精确。
We describe a time-of-arrival-(ToA-) based localization system for smartphones. In this system, the transmitter emits modulated light-emitting diode (LED) light and sound waves, then the smartphone catches them. The smartphone measures the time of flight of sound waves and localizes its position using multilateration. The LED light is used for visible light communication, which also conveys the time reference of the sound emission. Using the time reference, we can synchronize between the transmitter and the receiver, then the ToA-based localization can be available. The precision of time synchronization is the key factor for localization based on ToA. Hence, we have proposed the SyncSync method using a modulated LED light and a smartphone video camera, which enables ToA localization by measuring the time of flight of sound waves. This method gives better results than those of time-difference-of-arrival localization. However, we had to use a dedicated light synchronization device for our method. Visible light communication (VLC) is becoming a popular application of smartphones. If VLC demodulation could be used for time synchronization in acoustic localization, VLC and indoor localization would be integrated into a single application. In this paper, we examined the feasibility of VLC time synchronization for localization. Then, ToA-based localization was performed using a smartphone application. The standard deviation of the 3D localization was around 100 mm in a dark room, which is sufficiently precise for practical applications.