Pushing the Limits of Indoor Localization in Today's Wi-Fi Networks
Sept. 17, Thursday, 10:00-11:30 am,
Prof. Jie Xiong
School of Information Systems， Singapore Management University
Wireless networks are ubiquitous nowadays and play an increasingly important role in our everyday life. A lot of wonderful emerging applications heavily reply on Wi-Fi and require an even better Wi-Fi network. These applications include wearables, augmented reality, indoor navigations and etc. One key component for the success of these applications is accurate indoor localization. The wearables need to have the location information in order to deliver the most relevant recommendations. The augmented reality applications need the location information to provide corresponding useful information. While we have GPS in the outdoor environment, indoor localization at a sub-meter granularity remains challenging due to a number of factors, including the presence of strong wireless reflections indoors and the burden of deploying and maintaining any additional location service infrastructure.
The recent trend of dramatically increasing numbers of antennas and higher bandwidth at the indoor access point, mainly to bolster capacity, brings us unique opportunities to improve the indoor localization performance. Two indoor localization systems will be introduced in this talk. The first, ArrayTrack, is an indoor location system that employs angle-of-arrival (AoA) techniques to track wireless clients at a fine granularity in real time. ArrayTrack is the first localization system hosted on Wi-Fi infrastructure to achieve accuracy below 30 cm via a novel reflection-path identification scheme. ToneTrack is another location system, which overcomes the bandwidth limit on time-based localization by combing data from adjacent channels. With the scheme proposed in ToneTrack, it’s possible for us to achieve millimeter level of accuracy in localization, which will enable Wi-Fi radar application in the future.
Jie Xiong received his Ph.D from the Department of Computer Science at University College London. He held a Google European Doctoral Fellowship in Wireless Networking for his doctoral studies. His research interests are in building wireless systems that uncover the gap between theory and reality. His recent work has appeared at MobiCom '15, SIGCOMM CoNEXT '14 (Best Paper Award), MobiCom '14, MobiCom '13, NSDI '13 and INFOCOM '11. He received his M.Sc. and B.Eng. degrees from Duke University and Nanyang Technological University, respectively.