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arXiv · 2603.08419

Subspace Fusion Sensing for Cooperative ISAC

Yining Xu·Cunhua Pan·Jun Tang·Hong Ren·Jiangzhou Wang
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Abstract

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.

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Yining Xu, Cunhua Pan, Jun Tang, Hong Ren, Jiangzhou Wang. 2026-03-09. Subspace Fusion Sensing for Cooperative ISAC. https://arxiv.org/abs/2603.08419

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