Year: 2024
Type: conference-paper
Abstract: The system concept of a multistatic network of collaborative high frequency (HF) over-the-horizon (OTH) radar nodes has been proposed and is being tested in the European Union-funded study iFURTHER. These system setups are subject to the electromagnetic situation given in the high frequency range and challenging ionospheric skywave or surface-wave propagation paths in combination with a bistatic beyond-line-of-sight (BLOS) geometry. It is foreseen to combine data from widely distributed HF sensor nodes in a cohesive OTH radar network for the coherent operation below approximately 30MHz. Inherent technical challenges affect the choice of possible system designs and the performance in terms of target tracking and localization. Being thereby distinct to a classical OTH skywave backscatter principle in (quasi-)monostatic configurations, this idea requires conceptually new and agile system architectures, which include the support by cognitive radar principles and a sensing of the ionosphere to retrieve latest supplementary information on current propagation conditions. The possibilities are enhanced by a combined hybrid skywave and surface-wave propagation with a likely support of complementary sensor data. It may benefit from an exploitation of non-cooperative illumination by transmitters of opportunity. If this system-of-systems is achieved successfully, it can likely enable strongly improved radar and sensing capabilities that are usable in a wide range of upcoming OTH applications.
Institutions: Fraunhofer Institute for High Frequency Physics and Radar Techniques, Université Paris-Saclay, Office National d'Études et de Recherches Aérospatiales, Département Electromagnétisme et Radar, Consorzio Nazionale Interuniversitario per le Telecomunicazioni, Warsaw University of Technology, Istituto Nazionale di Geofisica e Vulcanologia, Indra (Spain), Universidad de Alcalá
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4404531648