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| Activity title | Advanced radar techniques for robust situation awareness and threat assessment considering Class I UAS in complex environments | Activity Reference | SET-307 | Panel | SET | Security Classification | Other | Status | Active | Activity type | RTG | Start date | 2021-10-27T00:00:00Z | End date | 2024-10-27T00:00:00Z | Keywords | RADAR UAS MULTI TARGETS SWARM THREAT ASSESSMENT COMPLEX CLUTTER | Background | SET245 TG and its predecessor SET180 TG have addressed the topic of radar-based classification and recognition of unmanned aircraft systems (UAS). Both TGs have organized measurement campaigns, collecting reference data over a wide range of UAS types, in several frequency bands and environments. These measurements were used to estimate relevant parameters of UAS electromagnetic signatures to then develop target classification and clutter reduction schemes. SET245 TG studied in particular artificial intelligence (AI) based classification algorithms and thanks to a very large dataset collected during SET245, the TG was able to compare several approaches. Beside this activity in the field of classification, SET245 TG investigated the problem of detection in complex environment. In this context, SET245 TG participated in 2018 BlackDart exercise and planned to organize mid-2020, with the help of SET260, a measurement campaign in a semi urban area. This campaign was finally cancelled due to COVID 19. | Objectives | The aims of this new group are to investigate and evaluate new techniques for radar-based detection, tracking, classification and recognition of Class I UAS in complex environments. Targets of special interest will be swarms and formations of UAS, small improvised (fixed-wing) drones and so-called ‘confusers’ such as birds, wind turbines, fans etc. In support of the evaluation of these new techniques, the existing set of measurements acquired within the framework of the SET180 and SET245 TGs will be expanded with new measurements of relevant targets and confusers in representative complex environments. | Topics | • Special radar system concepts for robust detection, tracking, classification and recognition of Class I UAS, including multiple input/multiple output (MIMO) radar, passive radar and distributed radars.
• Radar-based AI methods for classification and recognition of Class I UAS (including swarms and formations), for rejection of so-called ‘confusers’ and for clutter mitigation. Multimodal (AI) techniques for robust classification and recognition of UAS, e.g., by combining radar measurements with electro-optical and/or acoustic measurements.
• Assessment of operationally relevant information for threat assessment of Class I UAS and foreseen developments of the malicious use of (improvised) UAS, e.g., by consultation of a subject-matter expert from the military domain.
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