期刊
ACM SIGCOMM COMPUTER COMMUNICATION REVIEW
卷 45, 期 4, 页码 269-282出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2829988.2787487
关键词
Indoor localization; Wireless; WiFi; OFDM; CSI
资金
- Thomas and Sarah Kailath Stanford Graduate Fellowship
This paper presents the design and implementation of SpotFi, an accurate indoor localization system that can be deployed on commodity WiFi infrastructure. SpotFi only uses information that is already exposed by WiFi chips and does not require any hardware or firmware changes, yet achieves the same accuracy as state-of-the-art localization systems. SpotFi makes two key technical contributions. First, SpotFi incorporates super-resolution algorithms that can accurately compute the angle of arrival (AoA) of multipath components even when the access point (AP) has only three antennas. Second, it incorporates novel filtering and estimation techniques to identify AoA of direct path between the localization target and AP by assigning values for each path depending on how likely the particular path is the direct path. Our experiments in a multipath rich indoor environment show that SpotFi achieves a median accuracy of 40 cm and is robust to indoor hindrances such as obstacles and multipath.
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