LiDAL: Light Detection and Localization
LiDAL: Light Detection and Localization
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DOI：
10.1109/access.2019.2925076
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发表时间：
2019-03
期刊：
影响因子：
3.9
通讯作者：
Aubida A. Al-Hameed;Safwan Hafeedh Younus;A. T. Hussein;Mohammed Thamer Alresheed;J. Elmirghani
中科院分区：
文献类型：
--
作者：
Aubida A. Al-Hameed;Safwan Hafeedh Younus;A. T. Hussein;Mohammed Thamer Alresheed;J. Elmirghani
在这篇文章中，我们提出了第一个基于光的室内探测和定位系统，它建立在无线电探测和测距(雷达)的概念上，利用可见光通信(VLC)的使用和采用的预期增长，这可以为我们的光探测和定位(LIDAL)系统提供基础设施。我们的系统除了与现有的VLC系统完全兼容外，还可以对人员进行主动检测、计数和定位。为了探测人类(目标)，里达尔使用可见光光谱。它使用VLC发射器发送脉冲，并分析光电探测器接收器收集的反射信号。虽然我们在这里研究了可见光光谱的使用，但激光可以用于红外光谱和其他部分的光谱。我们介绍了具有不同收发结构的激光雷达，以及在高斯噪声存在的情况下，考虑目标反射信号起伏的最优和次最优检测器。为了消除目标检测和定位中的模糊性，我们设计了一种高效的多输入多输出(MIMO)激光雷达系统和一种带有成像接收机的多输入单输出激光雷达系统。我们建立了人体及其反射的模型，并考虑了所用布料的颜色和纹理的影响以及目标移动性的影响。为我们的激光雷达系统开发了许多检测和定位方法，包括互相关法和背景减除法。这些方法被认为是为了将移动目标与由于真实室内环境中的背景障碍物(家具)而引起的环境反射区分开来。
In this paper, we present the first indoor light-based detection and localization system that builds on concepts from radio detection and ranging (radar) making use of the expected growth in the use and adoption of visible light communication (VLC), which can provide the infrastructure for our Light Detection and Localization (LiDAL) system. Our system enables active detection, counting, and localization of people, in addition to being fully compatible with the existing VLC systems. In order to detect human (targets), LiDAL uses the visible light spectrum. It sends pulses using a VLC transmitter and analyses the reflected signal collected by a photodetector receiver. Although we examine the use of the visible spectrum here, LiDAL can be used in the infrared spectrum and other parts of the light spectrum. We introduce LiDAL with different transmitter-receiver configurations and optimum and sub-optimum detectors considering the fluctuation of the received reflected signal from the target in the presence of Gaussian noise. We design an efficient multiple input multiple output (MIMO) LiDAL system with a wide field of view (FOV) single photodetector receiver, and also design a multiple input single output (MISO) LiDAL system with an imaging receiver to eliminate the ambiguity in target detection and localization. We develop models for the human body and its reflections and consider the impact of the color and texture of the cloth used as well as the impact of target mobility. A number of detection and localization methods are developed for our LiDAL system, including cross correlation and a background subtraction method. These methods are considered to distinguish a mobile target from the ambient reflections due to background obstacles (furniture) in a realistic indoor environment.