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光学相机通信发现与跟踪系统的设计与实验特性。

Design and Experimental Characterization of a Discovery and Tracking System for Optical Camera Communications.

机构信息

Institute for Technological Development and Innovation in Communications (IDeTIC), Universidad de Las Palmas de Gran Canaria (ULPGC), 35017 Las Palmas de Gran Canaria, Spain.

出版信息

Sensors (Basel). 2021 Apr 22;21(9):2925. doi: 10.3390/s21092925.

Abstract

Visible light communications (VLC) technology is emerging as a candidate to meet the demand for interconnected devices' communications. However, the costs of incorporating specific hardware into end-user devices slow down its market entry. Optical camera communication (OCC) technology paves the way by reusing cameras as receivers. These systems have generally been evaluated under static conditions, in which transmitting sources are recognized using computationally expensive discovery algorithms. In vehicle-to-vehicle networks and wearable devices, tracking algorithms, as proposed in this work, allow one to reduce the time required to locate a moving source and hence the latency of these systems, increasing the data rate by up to 2100%. The proposed receiver architecture combines discovery and tracking algorithms that analyze spatial features of a custom RGB LED transmitter matrix, highlighted in the scene by varying the cameras' exposure time. By using an anchor LED and changing the intensity of the green LED, the receiver can track the light source with a slow temporal deterioration. Moreover, data bits sent over the red and blue channels do not significantly affect detection, hence transmission occurs uninterrupted. Finally, a novel experimental methodology to evaluate the evolution of the detection's performance is proposed. With the analysis of the mean and standard deviation of novel K parameters, it is possible to evaluate the detected region-of-interest scale and centrality against the transmitter source's ideal location.

摘要

可见光通信(VLC)技术作为一种满足互联设备通信需求的候选技术正在兴起。然而,将特定硬件纳入最终用户设备的成本减缓了其市场进入速度。光学摄像头通信(OCC)技术通过重用摄像头作为接收器来开辟道路。这些系统通常在静态条件下进行评估,在静态条件下,使用计算成本高昂的发现算法来识别传输源。在车对车网络和可穿戴设备中,跟踪算法,如本文所提出的,允许减少定位移动源所需的时间,从而减少这些系统的延迟,将数据率提高高达 2100%。所提出的接收器架构结合了发现和跟踪算法,分析自定义 RGB LED 发射器矩阵的空间特征,通过改变相机的曝光时间在场景中突出显示。通过使用锚定 LED 并改变绿色 LED 的强度,接收器可以用较慢的时间劣化跟踪光源。此外,通过红色和蓝色通道发送的数据位不会显著影响检测,因此传输不会中断。最后,提出了一种新的评估检测性能演变的实验方法。通过分析新 K 参数的均值和标准差,可以评估检测到的感兴趣区域的比例和中心度与发射器源的理想位置。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/162f/8122259/b187be852ed1/sensors-21-02925-g001.jpg

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