Optimizing Fingerprint-Spectrum-Based Synchronization in Integrated Sensing and Communications
arXiv:2410.10134 · doi:10.1109/GLOBECOM52923.2024.10901420
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.
This work has been accepted by Globecom 2024. arXiv admin note: substantial text overlap with arXiv:2409.00950
References in corpus (6)
- FarSense: Pushing the Range Limit of WiFi-based Respiration Sensing with CSI Ratio of Two Antennas
- Throughput Maximization for UAV-enabled Integrated Periodic Sensing and Communication
- Clutter Suppression, Time-Frequency Synchronization, and Sensing Parameter Association in Asynchronous Perceptive Vehicular Networks
- Distributed Spatio-Temporal Information Based Cooperative 3D Positioning in GNSS-Denied Environments
- High-Performance Low-Complexity Hierarchical Frequency Synchronization for Distributed Massive MIMO-OFDMA Systems
- Windowing Optimization for Fingerprint-Spectrum-Based Passive Sensing in Perceptive Mobile Networks