Session C6: Terrestrial Signals of Opportunity-Based Navigation Systems

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Date: Thursday, May 1, 2025
Time: 1:45 p.m. - 4:50 p.m.
Location: Grand Ballroom IJ

Session Chair:

Dr. Jiwon Seo Yonsei University

Abstracts in this session are listed alphabetically. Following peer review of the full manuscripts, each abstract will be designated as a primary or as an alternate presentation.

1.	5G Direct Position Estimation for Precise Localization in Dense Urban Area: Sijia Li, Sergio Vicenzo, and Bing Xu, The Hong Kong Polytechnic University
3.	Blind Opportunitic Localization with 5G, LTE, and Digital TV Signals: Shaghayegh Shahcheraghi and Zak (Zaher) M. Kassas, The Ohio State University
4.	An Empirical Assessment of Indoor-Outdoor Localization Based on Signals of Opportunity from Multiple Systems: Albrecht Michler, Paul Schwarzbach, Jonas Ninnemann, Muhammad Ammad,Oliver Michler, TUD Dresden University of Technology
5.	Low-SWaP GNSS-denied Navigation using LTE Signals of Opportunity: Tyler Sweat, Michael Rice, Willie K. Harrison, and Randal W. Beard, Brigham Young University
6.	Maximum Likelihood Time-Delay Estimation in Multipath Channels with Two- and Three-Paths Models Using OFDM: Lucas Alvarez Navarro, Christian C. J. M. Tiberius, Department of Geoscience and Remote Sensing, Delft University of Technology; Gerard J. M. Janssen, Department of Microelectronics, Delft University of Technology
7.	Heteroscedastic Gaussian Process Model for Received Signal Strength Based Device-Free Localization: Ossi Kaltiokallio, Unit of Electrical Engineering, Tampere University; Roland Hostettler, Department of Electrical Engineering, Uppsala University; Jukka Talvitie, and Mikko Valkama, Unit of Electrical Engineering, Tampere University
8.	Wi-Fi RTT Range Offset and Multi-Band Analysis: Challenges and Opportunities for Indoor Localization: Sultan Al Sulami, Tarig Ballal, Muhammad Moinuddin, and Tareq Al-Naffouri, Electrical and Computer Engineering Dept., King Abdulaziz University
8.	Indoor Localization Based on Machine Learning-Assisted PDR and Signals of Opportunity From Ambient Generic BLE Devices: Masakatsu Kourogi, Akihiro Sato, Satoki Ogiso, Ryosuke Ichikari, and Takashi Okuma, AIST

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