arXiv:2611.16098 · v1

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

首次提交 2026-11-12 07:13

版本更新 2026-11-12 07:13

雷达观测 2026-11-13 14:16

摘要

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. To address these limitations, in this work we propose VISTA, a novel method for reconstructing the uD spectrogram in an absolute coordinate frame, yielding view-independent Doppler features that are invariant to the spatial distribution of ISAC nodes. We formulate the uD estimation as a sparse reconstruction problem that jointly leverages measurements from all ISAC receivers. This is solved using a modified Orthogonal Matching Pursuit (OMP) algorithm, which iteratively alternates between jointly selecting candidate velocity vectors across all receivers (RXs) and independently estimating the complex channel gain amplitudes for each RX. Our results show that, provided sufficient spatial diversity, VISTA successfully reconstructs the targets' absolute uD spectrograms with a median error \leq 0.69 m/s for speeds \leq 15 m/s.

作者备注：Accepted to be presented in the IEEE ISAC 2026 conference