Publication: Performance Analysis of an AoA-based Wi-Fi Indoor Positioning System
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Issued Date
2019-09-01
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2-s2.0-85076218724
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Mahidol University
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SCOPUS
Bibliographic Citation
Proceedings - 2019 19th International Symposium on Communications and Information Technologies, ISCIT 2019. (2019), 36-41
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Boonsit Yimwadsana, Vichhaiy Serey, Snit Sanghlao Performance Analysis of an AoA-based Wi-Fi Indoor Positioning System. Proceedings - 2019 19th International Symposium on Communications and Information Technologies, ISCIT 2019. (2019), 36-41. doi:10.1109/ISCIT.2019.8905238 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/50613
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Title
Performance Analysis of an AoA-based Wi-Fi Indoor Positioning System
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Abstract
© 2019 IEEE. Location-based services (LBS) has emerged as a key computing application service for various industries as computing system is moving closer to real world human physical interaction. In the last ten years, global positioning system and object tracking have taken various industries by storm. Applications such as global positioning, navigation, logistics, object tracking, or even museum guide are developed around the LBS technology. The invention of the Global Positioning System (GPS) allows the method of trilateration to be used in full effect to pinpoint anyone's location on Earth. However, the same technique cannot be used effectively when an individual is inside a building. A large portion of GPS signals from satellites cannot penetrate through walls and buildings. Various methods in all layers of conventional communication system have been introduced, and indoor positioning using Wi-Fi is leading the competition at the moment.This research aims to analyze the performance of Wi-Fi indoor positioning system in infrastructure mode. According to various studies and fundamental knowledge, the installation positions of the infrastructure access points to target detection areas of objects to be tracked pay the most significant role. In addition, bandwidth, types of Wi-Fi client devices, and number of devices in the area greatly affect the performance of the system. This work shows how these factors affect the positioning error the system. The results allow us to conclude that the current Wi-Fi indoor positioning system in the infrastructure mode can only be used in some applications that may not require extremely accurate positions such as navigation.