一种利用非视光通信的室内MISO VLC集成定位新模型

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI:10.1109/imcom53663.2022.9721812

Dat Vuong, Tran The Son, Duong Huu Ai, Trong-Hop Do, C. Huynh, H. N. Tan, N. V. A. Quang, Tttvinh

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引用次数: 2

摘要

可见光通信(VLC)日益成为一个新兴的研究领域。基于VLC，给出了实用的定位方案。这项工作提出了基于三角测量的RSS和基于nlos的指纹识别的结合，在4x1多输入单输出(MISO) VLC系统中，在两个发射机阻塞的情况下估计物体位置。应用基于三角测量的RSS来获得目标的潜在位置。然后，基于nlos的指纹识别模型根据潜在位置的RSS与离线参考数据的匹配来确定目标位置的电流。离线参考数据先前通过计算反射光的接收功率来存储。通过仿真对该方案进行了验证和评价。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Novel Integrated Model for Positioning Indoor MISO VLC Exploiting Non-Light-of-Sight Communication

Visible light communication (VLC) has increasingly been an on-trend research area. Base on VLC, practical positioning solutions are provided. This work proposes a combination between a triangulation-based RSS and NLOS-based fingerprinting that estimates the object position in case of two transmitter blockages in a 4x1 multiple-input single-output (MISO) VLC system. A triangulation-based RSS is applied to obtain the potential location of the object. Then, the NLOS-based fingerprinting model determines the current of object location base on matching RSS of potential positions to offline reference data. The offline reference data is previously stored by calculating the received power from reflected light. This proposed solution is verified and evaluated through simulation.

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2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)

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