学术报告
同济大学计算机科学与技术系智信讲坛第(104)期
题目：Fingerprinting based Indoor Localization Revisited: When Deep Learning Meets CSI
报告人：Shiwen Mao
时间：2017年7月18日周二上午 10:00
地点：电信楼403
组织单位：计算机科学与技术系
邀请人：吴俊教授
报告人简介：
Shiwen Mao received his Ph.D. in electrical and computer engineering from Polytechnic University (now Tandon School of Engineering, New York University), Brooklyn, NY in 2004. Currently, he is the Samuel Ginn Endowed Professor and Director of Wireless Engineering Research and Education Center (WEREC) at Auburn University, Auburn, AL. His research interests include wireless networks and multimedia communications. He is on the Editorial Board of IEEE Transactions on Multimedia, IEEE Internet of Things Journal, IEEE Multimedia, among others. He is the Chair of IEEE ComSoc Multimedia Communications Technical Committee, and a Distinguished Lecturer of IEEE Vehicular Technology Society.
内容提要：
With the fast growing demand of location-based services in indoor environments, indoor positioning based on fingerprinting has attracted a lot of interest due to its high accuracy. In this talk, we present our recent work on using deep learning for fingerprinting based localization where Channel State Information (CSI), such as amplitude and phase information, are exploited for location estimation. Experimental results are presented to confirm that with deep learning and CSI, the proposed system can effectively reduce location error compared with existing methods in representative indoor environments.
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