Wang, XY;
Yang, S;
Zhai, HY;
Masouros, C;
Zhang, JA;
(2025)
Optimizing Fingerprint-Spectrum-Based Synchronization in Integrated Sensing and Communications.
In:
Proceedings of the IEEE Global Communications Conference, GLOBECOM 2024.
(pp. pp. 4016-4021).
IEEE: Cape Town, South Africa.
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Abstract
Asynchronous radio transceivers often lead to significant range and velocity ambiguity, posing challenges for precise positioning and velocity estimation in passive-sensing perceptive mobile networks (PMNs). To address this issue, carrier frequency offset (CFO) and time offset (TO) synchronization algorithms have been studied in the literature. However, their performance can be significantly affected by the specific choice of the utilized window functions. Hence, we set out to find superior window functions capable of improving the performance of CFO and TO estimation algorithms. We first derive a near-optimal window, and the theoretical synchronization mean square error (MSE) when utilizing this window. However, since this window is not practically achievable, we then develop a practical window selection criterion and test a special window generated by the super-resolution algorithm. Numerical simulation has verified our analysis.
Type: | Proceedings paper |
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Title: | Optimizing Fingerprint-Spectrum-Based Synchronization in Integrated Sensing and Communications |
Event: | GLOBECOM 2024 - 2024 IEEE Global Communications Conference |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/GLOBECOM52923.2024.10901420 |
Publisher version: | https://doi.org/10.1109/GLOBECOM52923.2024.1090142... |
Language: | English |
Keywords: | Time-frequency analysis, Radio transceivers, Superresolution, Estimation, Mean square error methods, Fingerprint recognition, Integrated sensing and communication, Numerical simulation, Synchronization, Frequency synchronization |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10207444 |
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