A dataset for the study of ISAC-based UAV sensing in U-Space

The success of commercial drones strongly depends on their operation acceptance in the lower airspace, also called U-Space. High safety standards are paramount to ensure the safety and security of large-scale drone operations. To achieve these high standards, a robust, technically feasible monitoring system is required that implements the primary and secondary sensing surveillance functionalities known from commercial air traffic. Radar monitoring is a crucial part of such a monitoring system.With it, position reports from drones can be checked and confirmed. Hence, a ubiquitous drone U-Space monitoring network can be created using Integrated Sensing and Communication (ISAC), e.g., to support public safety and protection of critical infrastructure. However, the required technical parameters of such an ISAC drone sensing system remain unclear. To fill this gap, we provide measurement data from a multistatic, distributed base station scenario to enable the development and parametrization of the necessary algorithms for such an ISAC application. Furthermore, this article also shows an example of UAV detection and localization with the dataset.