Session B10: Positioning with Non-GNSS Radio Signals (Invited Session)

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Date: Friday, September 25, 2020
Time: 10:35 a.m. - 12:15 p.m.

Session Chairs:
Dr. Gonzalo Seco Granados
Universitat Autonoma de Barcelona, Spain
Dr. Howard Huang
Nokia Bell Labs

1. WiFi-RTT Indoor Positioning: Christian Gentner, Markus Ulmschneider, Isabel Kuehner, and Armin Dammann, German Aerospace Center (DLR), Germany
2. Field Testing of Mobile Positioning with Signals of Opportunity in Urban and Urban Canyon Environments: Chun Yang and Andrey Soloviev, QuNav
3. Combining TDOA and AOA with a Particle Filter in an Outdoor LoRaWAN Network: Aernouts Michiel, BniLam Noori, University of Antwerp - imec, IDLab - Faculty of Applied Engineering, Belgium; Podevijn Nico, Plets David, Joseph Wout, University of Ghent - imec, Waves, Belgium; Berkvens Rafael, Weyn Maarten, University of Antwerp - imec, IDLab - Faculty of Applied Engineering, Belgium
4. Multipoint Channel Charting with Multiple-Input Multiple-Output Convolutional Autoencoder: Chunhua Geng, Howard Huang, and Jack Langerman, Nokia Bell Labs
Alternates
1. Performance Analysis for Autonomous Vehicle 5G-Assisted Positioning in GNSS-Challenged Environments: Zohair Abu-Shaban, School of Engineering and IT, University of New South Wales, Australia; Gonzalo Seco-Granados, Department of Telecom and Systems Engineering, Universitat Autònoma de Barcelona, Spain; Craig R. Benson, School of Engineering and IT, University of New South Wales, Australia; Henk Wymeersch, Department of Electrical Engineering, Chalmers University of Technology, Sweden
2. Metric Learning for Fingerprint RSSI-Localization: Kevin Elgui, Pascal Bianchi, Télécom Paris, France; Olivier Isson, Renaud Marty, Sigfox, France
3. Localization Based on Channel Impulse Response Estimates: Zehao Yu, Wireless Information and Network Sciences Laboratory, MIT; Zhenyu Liu, Wireless Information and Network Sciences Laboratory, MIT; Florian Meyer, Scripps Institution of Oceanography, UCSD; Andrea Conti, Department of Engineering, University of Ferrara; Moe Z. Win, Laboratory for Information and Decision Systems, MIT

Awards Luncheon, 12:15 p.m. - 1:30 p.m.

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