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 Chairs

Dr. Jiwon Seo
Yonsei University


Sharbel Kozhaya
The Ohio State University

 
Track Chair

Dr. Zak Kassas
The Ohio State University

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Presentations
1:50 5G Direct Position Estimation for Precise Localization in Dense Urban Area
 
Sijia Li, Sergio Vicenzo, and Bing Xu, The Hong Kong Polytechnic University
2:12 Blind Opportunistic Localization with 5G, LTE, and Digital TV Signals
Shaghayegh Shahcheraghi and Zaher Kassas, The Ohio State University
2:35 An Empirical Assessment of Indoor-Outdoor Localization Based on Signals of Opportunity from Multiple Systems
   
Albrecht Michler, Paul Schwarzbach, Jonas Ninnemann, Muhammad Ammad, and Oliver Michler, TUD Dresden University of Technology
2:58 Low-SWaP GNSS-denied Navigation using LTE Signals of Opportunity
 
TTyler Sweat, Willie K. Harrison, Michael Rice, and Randal W. Beard, Brigham Young University
3:20 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
3:43 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
4:05 Indoor Localization Based on Machine LearningAssisted PDR and Signals of Opportunity From Ambient Generic BLE Devices
 
Masakatsu Kourogi, Akihiro Sato, Satoki Ogiso, Ryosuke Ichikari, and Takashi Okuma, AIST
4:28 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

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