{"title":"Indoor positioning systems based on visible light communication","authors":"Runze Kong, Ruiteng Li, Zhengyang Ma, Yixiang Yu","doi":"10.54254/2755-2721/78/20240460","DOIUrl":null,"url":null,"abstract":"Indoor positioning systems (IPS) are crucial in the ever-expanding landscape of wireless communication systems. These systems can generally be classified into four categories based on the underlying positioning technologies. One of them is based on visible light technology using Light Emitting Diodes (LEDs). In this paper, we first present a simple transmission model from the sender to the receiver in a visible light system. Subsequently, we construct a higher-precision, cost-effective model based on the technology proposed by Epsilon. Next, we introduce the most commonly used fingerprint recognition method and triangulation method in visible light indoor positioning. Traditional fingerprint recognition methods have issues such as significant errors. Recent studies have proposed various improvements based on different problems. To address the problem of high position errors, new research introduces an accurate Visible Light Positioning (VLP) method based on location fingerprinting and meta-heuristic. The method presented in this paper addresses the issue of position errors being affected in special cases. A typical IPS is an indoor positioning system utilizing dual-tone multi-frequency (DTMF) technology. The system design involves arranging LED lamps in a rectangular grid shape and using a basic positioning unit. The research discussed in this paper also explores the calculation of channel gains and simulation results of positioning errors. In the proposed positioning system, the coarse position is obtained through the ID acquisition process. When the mobile unit receives one or more LED signals, the ID acquisition process is used to obtain the nearest LEDs ID based on the highest Received Signal Strength Indication (RSSI). Simulation results indicate an average positioning error of 18 millimeters at a Signal-to-Noise Ratio (SNR) of 10 dB. Through the results of our research, we conclude that the wide applicability of VLC technology makes it a cornerstone in many fields. In our daily lives, optical communication positioning technology continues to improve, promising broader applications in the future.","PeriodicalId":502253,"journal":{"name":"Applied and Computational Engineering","volume":"22 17","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied and Computational Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54254/2755-2721/78/20240460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Indoor positioning systems (IPS) are crucial in the ever-expanding landscape of wireless communication systems. These systems can generally be classified into four categories based on the underlying positioning technologies. One of them is based on visible light technology using Light Emitting Diodes (LEDs). In this paper, we first present a simple transmission model from the sender to the receiver in a visible light system. Subsequently, we construct a higher-precision, cost-effective model based on the technology proposed by Epsilon. Next, we introduce the most commonly used fingerprint recognition method and triangulation method in visible light indoor positioning. Traditional fingerprint recognition methods have issues such as significant errors. Recent studies have proposed various improvements based on different problems. To address the problem of high position errors, new research introduces an accurate Visible Light Positioning (VLP) method based on location fingerprinting and meta-heuristic. The method presented in this paper addresses the issue of position errors being affected in special cases. A typical IPS is an indoor positioning system utilizing dual-tone multi-frequency (DTMF) technology. The system design involves arranging LED lamps in a rectangular grid shape and using a basic positioning unit. The research discussed in this paper also explores the calculation of channel gains and simulation results of positioning errors. In the proposed positioning system, the coarse position is obtained through the ID acquisition process. When the mobile unit receives one or more LED signals, the ID acquisition process is used to obtain the nearest LEDs ID based on the highest Received Signal Strength Indication (RSSI). Simulation results indicate an average positioning error of 18 millimeters at a Signal-to-Noise Ratio (SNR) of 10 dB. Through the results of our research, we conclude that the wide applicability of VLC technology makes it a cornerstone in many fields. In our daily lives, optical communication positioning technology continues to improve, promising broader applications in the future.
室内定位系统(IPS)在不断扩展的无线通信系统中至关重要。根据基本定位技术,这些系统一般可分为四类。其中之一是基于使用发光二极管(LED)的可见光技术。在本文中,我们首先介绍了可见光系统中从发送方到接收方的简单传输模型。随后,我们基于 Epsilon 提出的技术,构建了一个精度更高、成本效益更高的模型。接下来,我们介绍了可见光室内定位中最常用的指纹识别方法和三角测量方法。传统的指纹识别方法存在误差较大等问题。最近的研究根据不同的问题提出了各种改进方法。针对位置误差大的问题,新的研究提出了一种基于位置指纹识别和元启发式的精确可见光定位(VLP)方法。本文介绍的方法解决了特殊情况下位置误差受影响的问题。典型的 IPS 是利用双音多频 (DTMF) 技术的室内定位系统。系统设计包括将 LED 灯布置成矩形网格状,并使用一个基本定位单元。本文讨论的研究还探讨了信道增益的计算和定位误差的模拟结果。在所提出的定位系统中,粗定位是通过 ID 采集过程获得的。当移动装置接收到一个或多个 LED 信号时,ID 获取过程用于根据最高接收信号强度指示(RSSI)获取最近的 LED ID。模拟结果表明,在信噪比(SNR)为 10 dB 时,平均定位误差为 18 毫米。通过研究结果,我们得出结论:VLC 技术的广泛适用性使其成为许多领域的基石。在我们的日常生活中,光通信定位技术在不断改进,有望在未来得到更广泛的应用。