VISTA: View-Independent micro-Doppler Reconstruction with Multistatic ISAC

arXiv:2611.16098v1 Announce Type: new Abstract: The micro-Doppler (uD) spectrum provides detailed characteristics of target movement, making it highly valuable for applications such as target classification and human activity recognition. However, traditional Integrated Sensing And Communication (ISAC) systems are highly view-dependent and limited by blind spots and angle dependencies. Existing approaches rely on either configuration-specific solutions or data-driven models. The former results in poor generalization when device deployments or target orientations change, while the latter requires acquiring extensive multi-view datasets, which is time-consuming and not always feasible.