Improving accuracy of indoor localization system using ensemble learning

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS
H. Tran, T. Nguyen, T. V. Huynh, Nhiem Quoc Tran
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引用次数: 2

Abstract

Recent innovations in Light-emitting diode (LED) technology and Internet of Things applications have promoted the development of visible light communication and localization applications. LED-based indoor positioning application has been a potential topic attracting the attention of many researchers because this positioning technique provides high accuracy, low cost, simple operation, and medium complexity. This paper focuses on analyzing the positioning quality with different LED layout structures. Furthermore, we consider the influence of noise in these models through the ensemble learning algorithm. We also combine the ensemble learning method with the trilateration algorithm in the proposed solution. The numerical simulation results show that the proposed solution respectively achieved a positioning accuracy of 0.023, 0.011, and 0.009 m when we considered the negative effect of all noises in 3 distinct layouts: 3 LEDs, 4LEDs, and 5 LEDs.
利用集成学习提高室内定位系统的精度
近年来,发光二极管(LED)技术和物联网应用的创新推动了可见光通信和定位应用的发展。基于led的室内定位技术具有精度高、成本低、操作简单、复杂度中等等优点,已成为众多研究人员关注的潜在课题。本文着重分析了不同LED布局结构下的定位质量。此外,我们还通过集成学习算法考虑了噪声对这些模型的影响。我们还将集成学习方法与三边算法相结合。数值模拟结果表明,在考虑3个led、4个led和5个led三种不同布局下所有噪声的负面影响时,该方案的定位精度分别为0.023、0.011和0.009 m。
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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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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