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Shu-Hung Lee, Chia-Hsin Cheng, Chien-Chih Lin and Yung-Fa Huang
In wireless sensor networks (WSNs), the target positioning and tracking are very important topics. There are many different methods used in target positioning and tracking, for example, angle of arrival (AOA), time of arrival (TOA), time difference of ar...
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Christos Pantos, Hanno Hildmann and João Valente
This study aims to explore the communication capabilities for video crucial applications of two commercial drones?the Parrot AR.Drone 2.0 and the Parrot Anafi?in a greenhouse environment. Experiments were conducted on Received Signal Strength (RSS), Roun...
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Ganjar Alfian, Muhammad Syafrudin, Norma Latif Fitriyani, Sahirul Alam, Dinar Nugroho Pratomo, Lukman Subekti, Muhammad Qois Huzyan Octava, Ninis Dyah Yulianingsih, Fransiskus Tatas Dwi Atmaji and Filip Benes
In recent years, radio frequency identification (RFID) technology has been utilized to monitor product movements within a supply chain in real time. By utilizing RFID technology, the products can be tracked automatically in real-time. However, the RFID c...
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Baihua Shi, Yifan Li, Guilu Wu, Riqing Chen, Shihao Yan and Feng Shu
The angle of arrival (AOA) is widely used to locate a wireless signal emitter in unmanned aerial vehicle (UAV) localization. Compared with received signal strength (RSS) and time of arrival (TOA), AOA has higher accuracy and is not sensitive to the time ...
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Muhammed Zahid Karakusak, Hasan Kivrak, Hasan Fehmi Ates and Mehmet Kemal Ozdemir
Wireless Local Area Network (WLAN) positioning is a challenging task indoors due to environmental constraints and the unpredictable behavior of signal propagation, even at a fixed location. The aim of this work is to develop deep learning-based approache...
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Helmer Augusto de Souza Mourão and Horácio Antonio Braga Fernandes de Oliveira
Indoor localization systems are used to locate mobile devices inside buildings where traditional solutions, such as the Global Navigation Satellite Systems (GNSS), do not work well due to the lack of direct visibility to the satellites. Fingerprinting is...
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Li Ma, Ning Cao, Xiaoliang Feng and Minghe Mao
In view of the fact that indoor positioning systems are usually affected by non-Gaussian noise in complex indoor environments, this paper tests the data in the actual scene and analyzes the distribution characteristics of noise, and proposes a new indoor...
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Hongji Cao, Yunjia Wang, Jingxue Bi, Meng Sun, Hongxia Qi and Shenglei Xu
Since many Wi-Fi routers can currently transmit two-band signals, we aimed to study dual-band Wi-Fi to achieve better positioning results. Thus, this paper proposes a fingerprint positioning method for dual-band Wi-Fi based on Gaussian process regression...
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Jingxue Bi, Lu Huang, Hongji Cao, Guobiao Yao, Wengang Sang, Jie Zhen and Yuying Liu
Many indoor fingerprinting localization methods are based on signal-domain distances with large localization error and low stability. An improved fingerprinting localization method using a clustering algorithm and dynamic compensation was proposed. In th...
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Wafa Shuaieb, George Oguntala, Ali AlAbdullah, Huthaifa Obeidat, Rameez Asif, Raed A. Abd-Alhameed, Mohammed S. Bin-Melha and Chakib Kara-Zaïtri
Alternative healthcare solutions have been identified as a viable approach to ameliorate the increasing demand for telehealth and prompt healthcare delivery. Moreover, indoor ocalization using different technologies and approaches have greatly contribute...
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