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Review of Radio Counter-Counter Unmanned Aerial Systems (C 2 -UAS) and A Cortex-Inspired Architecture for It
University West, Department of Engineering Science, Division of computer engineering and computer science.ORCID iD: 0000-0001-6631-1539
Ipms, Fraunhofer, Cottbus (SWE).
2026 (English)In: Proceedings International Radar Symposium, IEEE Computer Society, 2026, p. 487-492Conference paper, Published paper (Refereed)
Abstract [en]

Counter Unmanned Aerial Systems (C-UAS) is an emerging area of active research and development especially since the Ukraine war. A parallel stream of research and development is also taking place addressing the defensive survivability of friendly unmanned platforms against hostile C-UAS threats. While extensive literature addresses offensive C-UAS capabilities, the complementary challenge of defending autonomous platforms remains profoundly underdeveloped. We call this research and innovation direction Counter-Counter Unmanned Aerial Systems (C2-UAS). In this paper we present aspects and directions in radio C2-UAS domains. For R F systems, we address radar crosssection reduction through phase centre manipulation, geometric shaping and advanced materials. We also discuss communications link resilience against jamming through anti-jamming techniques and low probability of intercept/detection (LPI/LPD) waveform design, and navigation resilience through Global Positioning Systems (GPS) anti-spoofing mechanisms and multi-constellation Global Navigation Satellite System (GNSS) redundancy. We identify critical research gaps, emerging technologies, and future research directions especially by a brain-inspired architecture to foster C2-UAS. This work establishes the theoretical and practical foundations for C2-UAS as a distinct research discipline with profound strategic importance.

Place, publisher, year, edition, pages
IEEE Computer Society, 2026. p. 487-492
Keywords [en]
counter-counter UAS; defensive survivability; Electronic CounterCounter Measures (ECCM); GPS anti-spoofing; LPI/LPD; radar cross-section; RF stealth
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hv:diva-25681DOI: 10.23919/irs70539.2026.11549426Scopus ID: 2-s2.0-105042235228ISBN: 9788396972651 (print)OAI: oai:DiVA.org:hv-25681DiVA, id: diva2:2090558
Conference
27th International Radar Symposium, IRS 2026, Krakow, Poland, 19 May 2026 - 21 May 2026
Funder
Swedish Research Council
Note

Funding sponsor:

Stiftelsen för Kunskaps- och Kompetensutveckling

Green Open Access

Available from: 2026-08-07 Created: 2026-08-07 Last updated: 2026-08-07

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Mishra, Amit Kumar

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