Toward reliable localization by unequal AOA tracking

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Emerging applications require the location information of clients to enable human-environment interactions or personalized services. With an increasing number of antennas equipped in today’s wireless devices, recent research has shown the possibility of sub-meter level localization based only on the angle of arrival (AoA) of WiFi signals. While most existing work provides promising median accuracy, tail performance is usually far worse. We observe from measurements that the root cause is unequal AoA estimation reliability. In some critical areas, a small variation in the channel state information of signals could introduce an extremely large AoA estimation error. With this observation, we propose UAT (Unequal Angle Tracking), a confidence-aware AoA-based localization system. We show that unequal reliability of AoA measures can be mathematically quantified, allowing a system to weigh the estimates of different APs according to their confidence. Our testbed evaluation shows that UAT’s confidence-aware design provides reliable decimeter level localization for around 90% of locations. UAT is especially effective for unreliable areas and can reduce their localization errors by 27.5%, as compared to reliability-oblivious designs.

原文English
主出版物標題MobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services
發行者Association for Computing Machinery, Inc
頁面444-456
頁數13
ISBN(電子)9781450366618
DOIs
出版狀態Published - 12 六月 2019
事件17th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2019 - Seoul, Korea, Republic of
持續時間: 17 六月 201921 六月 2019

出版系列

名字MobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services

Conference

Conference17th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2019
國家Korea, Republic of
城市Seoul
期間17/06/1921/06/19

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    Tai, T. C., Lin, C-J., & Tseng, Y-C. (2019). Toward reliable localization by unequal AOA tracking. 於 MobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services (頁 444-456). (MobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services). Association for Computing Machinery, Inc. https://doi.org/10.1145/3307334.3326103