This paper proposes a subspace fusion sensing algorithm for cooperative integrated sensing and communication. First, we stack the received signals from access points (APs) into a third-order tensor and construct the equivalent virtual antenna (EVA) array via tensor unfolding. Then, a data association-free subspace-based fusion sensing algorithm is developed utilizing the EVA arrays from distributed APs. A derivation of Cramer-Rao lower bound (CRLB) is also presented. Finally, simulation results validate the effectiveness of the proposed algorithm compared to traditional techniques.
Cite
@article{arxiv.2603.08419,
title = {Subspace Fusion Sensing for Cooperative ISAC},
author = {Yining Xu and Cunhua Pan and Jun Tang and Hong Ren and Jiangzhou Wang},
journal= {arXiv preprint arXiv:2603.08419},
year = {2026}
}
Comments
This work has been submitted to the IEEE for possible publication