RIS-Aided Cooperative ISAC Network for Imaging-Based Low-Altitude Surveillance
Zhixin Chen, Yixuan Huang, Zhengze Ji, Jie Yang, Shi Jin

TL;DR
This paper introduces a RIS-aided cooperative ISAC network for low-altitude surveillance, utilizing active RIS and compressed sensing to improve imaging and detection performance at low altitudes.
Contribution
It proposes a novel RIS-assisted low-altitude imaging system with active RIS and compressed sensing, providing theoretical analysis and practical performance evaluation.
Findings
ARIS outperforms passive RIS in imaging quality
Effective target detection up to 300 meters altitude
Derived CRLB for system performance analysis
Abstract
The low-altitude economy is integral to the advancement of numerous sectors, necessitating the development of advanced low-altitude surveillance techniques. Nevertheless, conventional methods encounter limitations of high deployment costs and low signal strength. This study proposes a reconfigurable intelligent surface (RIS)-aided cooperative integrated sensing and communication (ISAC) network for low-altitude surveillance. This network employs RISs to reflect ISAC signals into low-altitude space for sensing. To enhance signal strength, we employ active RIS (ARIS) to amplify the signals. Moreover, in order to avoid error propagation and data association in traditional sensing methods, we model low-altitude surveillance as an imaging problem based on compressed sensing theory, which can be solved through the subspace pursuit algorithm. We derive the Cramer-Rao lower bound (CRLB) of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Wireless Communication Technologies · Sparse and Compressive Sensing Techniques · Underwater Vehicles and Communication Systems
