Drone Surveillance via Coordinated Beam Sweeping in MIMO-ISAC Networks

TL;DR

This paper presents a coordinated beam sweeping scheme for drone detection in 5G MIMO-ISAC networks, optimizing sensing and communication signals to improve detection accuracy while minimizing interference.

Contribution

It introduces a novel precoder design for coordinated APs that enhances drone detection and communication coexistence in volumetric surveillance using 5G signals.

Findings

Proposed precoder outperforms non-coordinated schemes

Sensing performance is robust to drone altitude variations

Enhanced detection accuracy with optimized beam sweeping

Abstract

This paper introduces a scheme for drone surveillance coordinated with the fifth generation (5G) synchronization signal block (SSB) cell-search procedure to simultaneously detect low-altitude drones within a volumetric surveillance grid. Herein, we consider a multistatic configuration where multiple access points (APs) collaboratively illuminate the volume while independently transmitting SSB broadcast signals. Both tasks are performed through a beam sweeping. In the proposed scheme, coordinated APs send sensing beams toward a grid of voxels within the volumetric surveillance region simultaneously with the 5G SSB burst. To prevent interference between communication and sensing signals, we propose a precoder design that guarantees orthogonality of the sensing beam and the SSB in order to maximize the sensing signal-to-interference-plus-noise ratio (SINR) while ensuring a specified SINR for users, as well as minimizing the impact of the direct link. The results demonstrate that the proposed precoder outperforms the non-coordinated precoder and is minimally affected by variations in drone altitude.