利用飞行时间像素阵列进行可见光定位

Zhibin Liu, N. Stevens, Miguel Heredia Conde
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引用次数: 0

摘要

近年来,由于发光二极管(led)的大量应用,可见光定位(VLP)作为光无线定位(OWP)的一类技术得到了越来越多的研究。无源ToF (Time-of-Flight)相机可以解调接收到的调制光信号,因此可以作为VLP系统的接收器。在这项工作中,我们的目标是将VLP技术与ToF相机相结合,以实现前所未有的定位精度。为此,构建了一个由现场可编程门阵列(FPGA)和无源ToF相机调制的五个LED模块组成的VLP实验框架。提出了一种利用ToF相机镜头法线知识的到达角(AOA)算法与基于混合Chan/Taylor级数展开法的到达时差(TDOA)算法相结合的融合算法,并进行了实验验证。最后,我们通过大量的实验证明,使用融合算法的定位精度高于使用单一定位算法的定位精度。
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Visible Light Positioning Using Arrays of Time-of- Flight Pixels
Visible Light Positioning (VLP) as a class of Optical Wireless Positioning (OWP) has been increasingly studied due to the massive installation of Light Emitting Diodes (LEDs) in recent years. A passive Time-of-Flight (ToF) camera can work as a receiver in VLP systems because it can demodulate the received modulated optical signals. In this work, we aim to combine VLP technology and ToF cameras to achieve unprece-dented positioning accuracy. To this end, a VLP experimental framework consisting of five LED modules modulated by a Field Programmable Gate Array (FPGA) and a passive ToF camera is constructed. A fusion algorithm is proposed and experimentally validated that combines the Angle Of Arrival (AOA) algorithm leveraging the knowledge of the lens normals of the ToF camera and the Time Difference Of Arrival (TDOA) algorithm based on the hybrid Chan/Taylor series expansion method. In the end, we demonstrate through extensive experiments that the positioning accuracy using the fusion algorithm is higher than that using a single positioning algorithm.
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