基于多通道信息的机器学习室内定位系统

IF 0.9 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering and Technological Sciences Pub Date : 2023-10-26 DOI:10.5614/j.eng.technol.sci.2023.55.4.2

Shu-Hung Lee, Chia-Hsin Cheng, Tzu-Huan Huang, Yung-Fa Huang

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引用次数: 0

摘要

接收信号强度指示器(RSSI)是由接收器中的传感器测量的功率度量。许多室内定位技术使用RSSI来定位室内环境中的物体。它们的定位精度受到墙壁的反射和吸收以及门和人等非静止物体的显著影响。因此，有必要在环境中增加收发器，以减少定位误差。本文提出了一种基于信道状态信息的机器学习算法与指纹识别相结合的室内定位技术。实验结果表明，随机森林(RF)和反向传播神经网络(BPNN)的平均定位精度分别达到6.13%和54.79%，优于传统基于rssi的定位系统。

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Machine Learning-based Indoor Positioning Systems Using Multi-Channel Information

The received signal strength indicator (RSSI) is a metric of the power measured by a sensor in a receiver. Many indoor positioning technologies use RSSI to locate objects in indoor environments. Their positioning accuracy is significantly affected by reflection and absorption from walls, and by non-stationary objects such as doors and people. Therefore, it is necessary to increase transceivers in the environment to reduce positioning errors. This paper proposes an indoor positioning technology that uses the machine learning algorithm of channel state information (CSI) combined with fingerprinting. The experimental results showed that the proposed method outperformed traditional RSSI-based localization systems in terms of average positioning accuracy up to 6.13% and 54.79% for random forest (RF) and back propagation neural networks (BPNN), respectively.

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来源期刊

Journal of Engineering and Technological Sciences ENGINEERING, MULTIDISCIPLINARY-

CiteScore

2.30

自引率

11.10%

发文量

审稿时长

24 weeks

期刊介绍： Journal of Engineering and Technological Sciences welcomes full research articles in the area of Engineering Sciences from the following subject areas: Aerospace Engineering, Biotechnology, Chemical Engineering, Civil Engineering, Electrical Engineering, Engineering Physics, Environmental Engineering, Industrial Engineering, Information Engineering, Mechanical Engineering, Material Science and Engineering, Manufacturing Processes, Microelectronics, Mining Engineering, Petroleum Engineering, and other application of physical, biological, chemical and mathematical sciences in engineering. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.