Ultra-Precise Synchronization for TDoA-based Localization Using Signals of Opportunity
Maul T, Robert J, Klob S (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: Proceedings of the 2023 13th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2023
Event location: Nuremberg, DEU
ISBN: 9798350320114
DOI: 10.1109/IPIN57070.2023.10332486
Abstract
Precise localization is one key element of the Internet of Things (IoT). Especially concepts for position estimation when Global Navigation Satellite Systems (GNSS) are unavailable have moved into the focus. One crucial component for localization systems in general and precise runtime-based positioning, in particular, is the necessity of ultra-precise clock synchronization between the receiving base stations. Our work presents a software-based approach for the wireless synchronization of spatially separated base stations using a low-cost off-the-shelf frontend architecture. The proposed system estimates the time synchronization, sampling clock offset, and carrier frequency offset using broadcast signals as Signals of opportunity.In this paper, we derive the theoretical lower bound for the estimation variance according to the Modified Cramer-Rao Bound. We show that a theoretical time synchronization accuracy in the range of ps and a frequency synchronization precision in the range of milli-Hertz is achievable. An algorithm is presented that estimates the desired parameter based on evaluating the Cross-Correlation Function between base stations. Initial measurements are conducted in a real-world environment. It is shown that the presented estimator nearly reaches the theoretical bound within a time and frequency synchronization accuracy of down to 200 ps and 6 mHz, respectively.
Authors with CRIS profile
Sebastian Klob
Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl) (LIKE)
Involved external institutions
Germany (DE)How to cite
APA:
Maul, T., Robert, J., & Klob, S. (2023). Ultra-Precise Synchronization for TDoA-based Localization Using Signals of Opportunity. In Proceedings of the 2023 13th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2023. Nuremberg, DEU: Institute of Electrical and Electronics Engineers Inc..
MLA:
Maul, Thomas, Joerg Robert, and Sebastian Klob. "Ultra-Precise Synchronization for TDoA-based Localization Using Signals of Opportunity." Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2023, Nuremberg, DEU Institute of Electrical and Electronics Engineers Inc., 2023.
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