AsyMov: Integrated Sensing and Communications with Asynchronous Moving Devices
Gianmaria Ventura, Michele Rossi, Jacopo Pegoraro

TL;DR
AsyMov is a novel method for estimating Doppler frequency and target velocity in integrated sensing and communication systems with asynchronous moving devices, effectively addressing phase offset and device motion challenges.
Contribution
It introduces an alternating minimization algorithm that jointly estimates Doppler shift and device velocity, integrating phase invariance and bistatic geometry insights.
Findings
Outperforms existing methods in accuracy and robustness.
Validated through simulations and real-world experiments.
Effective in scenarios with moving human subjects.
Abstract
Estimating the Doppler frequency shift caused by moving targets is one of the key objectives of Integrated Sensing And Communication (ISAC) systems, as it enables applications such as target classification, human activity recognition, and gait analysis. In practical scenarios, Doppler estimation is hindered by the movement of transmitter and receiver devices, and by the phase offsets caused by their clock asynchrony. Existing approaches have separately addressed these two aspects, either assuming clock-synchronous moving devices or asynchronous static ones. In fact, jointly tackling device motion and clock asynchrony is extremely challenging, as the Doppler shift from device movement differs for each propagation path and the phase offsets are time-varying. In this work, we present AsyMov, a method to estimate the bistatic Doppler frequency of a target and its velocity in ISAC setups…
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Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Molecular Communication and Nanonetworks · Distributed Sensor Networks and Detection Algorithms
