Positioning Using Wireless Networks: Applications, Recent Progress, and Future Challenges

Yang, Yang; Chen, Mingzhe; Blankenship, Yufei; Lee, Jemin; Ghassemlooy, Zabih; Cheng, Julian; Mao, Shiwen

doi:10.1109/jsac.2024.3423629

IEEE J. Select. Areas Commun.

2024

DOI: 10.1109/jsac.2024.3423629

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Positioning Using Wireless Networks: Applications, Recent Progress, and Future Challenges

Yang Yang,

Mingzhe Chen,

Yufei Blankenship

et al.

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2024

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Cited by 6 publications

References 274 publications

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A Simplified Method Based on RSSI Fingerprinting for IoT Device Localization in Smart Cities

Dogan,

Dalveren,

Kara

et al. 2024

IEEE Access

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A Simplified Method Based on RSSI Fingerprinting for IoT Device Localization in Smart Cities

Dogan,

Dalveren,

Kara

et al. 2024

IEEE Access

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Channel Characterization and Modeling for VLC-IoE Applications in 6G: A Survey

Tang,

Yin,

Tong

et al. 2024

IEEE Internet Things J.

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Inertial Sensor-Assisted High-Coverage Visible Light Positioning Algorithm

He,

Li,

Zhang

et al. 2024

IEEE Photonics J.

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Existing visible light positioning (VLP) algorithms typically require multiple LEDs to achieve high-precision positioning. However, in practice, the number of available LEDs is influenced by various factors such as the layout of LEDs and the field-of-view of the receiver, and these factors can significantly affect the coverage of a VLP algorithm. To address this issue, this paper proposes an inertial sensor-assisted single view geometry (ISA-SVG) algorithm, which can achieve accurate positioning as little as one LED. In particular, we first establish the projection transformation model between the actual point and its projection on the image plane. Then, a pose fusion model that effectively fuses the inertial sensor information and VLP information is established. Finally, the position of the receiver based on the pose fusion model is estimated. IAS-SVG significantly improves the usability and coverage performance of visible light positioning algorithms. Simulation results show that the coverage rate of the ISA-SVG algorithm is over 95%. Experimental results show that the proposed method can achieve an average positioning error as low as 4.70 cm.

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Positioning Using Wireless Networks: Applications, Recent Progress, and Future Challenges

Cited by 6 publications

References 274 publications

A Simplified Method Based on RSSI Fingerprinting for IoT Device Localization in Smart Cities

A Simplified Method Based on RSSI Fingerprinting for IoT Device Localization in Smart Cities

Channel Characterization and Modeling for VLC-IoE Applications in 6G: A Survey

Inertial Sensor-Assisted High-Coverage Visible Light Positioning Algorithm

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