A Modular and Scalable Counter‑UAS Architecture

Babis Papaspyros

1. Introduction

The war in Ukraine has transformed the understanding of unmanned aerial systems (UAS) in modern warfare. Small, inexpensive drones have become decisive platforms for reconnaissance, targeting, and attack. Their proliferation has forced militaries and defence industries to rethink counter‑UAS (CUAS) strategies, moving from isolated systems to layered, networked, and cost‑efficient architectures

A key lesson learned from Ukraine is the need for continuous adaptation, the ability to evolve tactics, sensors, and engagement logic as drone technologies and threat behaviors change very fast. CUAS Architecture 2.0 embodies this principle through a system‑of‑systems framework designed for defence procurement and industrial integration.

A critical emerging threat is the autonomous FPV drone with fiber‑optic guidance, which operates without RF emissions and challenges traditional detection models

2. The Modern Threat Spectrum

Contemporary battlefields face a wide range of drone threats:

- FPV and small quadcopters for tactical strikes  

- Loitering munitions with autonomous terminal guidance  

- Swarm attacks requiring high‑speed detection and prioritization  

- Anti‑jam autonomous drones capable of GNSS‑denied navigation  

- Multi‑domain coordinated attacks integrating EW, cyber, and kinetic effects  

Autonomous FPVs with Fiber‑Optic Guidance

These drones use a spooled fiber‑optic cable instead of RF links, making them invisible to RF/ELINT sensors and immune to jamming.  

Detection relies primarily on radar, supported by EO/IR and acoustic sensors.  

This new threat class drives the transition toward radar‑centric, multi‑sensor CUAS architectures.

3. Layered CUAS Architecture

The architecture follows a five‑stage chain aligned with NATO doctrine:

Detect: Radar, EO/IR, acoustic, and RF sensors form a multi‑static detection grid.  

Identify & Classify: AI/ML algorithms perform friend‑or‑foe discrimination and threat scoring.  

Decide (C2): A unified command layer builds a common operational picture and applies rules of engagement.  

Engage:  

   - Soft‑kill: EW jamming, GNSS spoofing, cyber takeover.  

   - Hard‑kill: Kinetic interceptors, autocannons, directed‑energy weapons.  Assess: Battle damage evaluation and continuous learning refine system performance.

4. System‑of‑Systems Integration

Modern CUAS deployments depend on distributed, resilient nodes connected through secure mesh networks and interoperable C2 pathways.  

Integration with legacy air‑defence assets and adherence to STANAG standards ensure scalability and coalition compatibility

A major lesson learned from Ukraine is that continuous adaptation must be built into the architecture itself — through modular software updates, flexible sensor fusion, and dynamic engagement logic.

Systems that fail to evolve rapidly lose operational relevance in the face of fast‑changing drone tactics and technologies.

5. Total System Cost Drivers

The overall cost of a CUAS program extends beyond hardware pricing.  

Key drivers include:

- Acquisition: Sensor type, mobility, environmental hardening, cybersecurity. 

- Integration: C2 fusion, STANAG compliance, secure networking.  

- Sustainment: Maintenance, software updates, calibration, spare parts.  

- Training: Operator and specialist instruction pipelines.  

- Mobility: Vehicle integration, infrastructure, redeployment kits.  

- EW Resilience: Redundant communications, anti‑jamming, shielding.  

True affordability must be assessed across the entire system‑of‑systems and over a 10–15‑year lifecycle, not per engagement.

6. Strategic Outlook

Next‑generation CUAS solutions will emphasize:

- AI‑driven autonomous detection and engagement  

- Radar‑first architectures for RF‑silent threats  

- Modular sensor/effector payloads  

- Distributed, resilient CUAS networks  

- Defence‑cloud integration for large‑scale operations  

For defence OEMs, the competitive advantage lies in interoperability, scalability, and lifecycle efficiency, not isolated high‑end subsystems.

CUAS Architecture demonstrates that effective drone defence depends on integration, adaptability, and long‑term affordability.

The rise of fiber‑optic guided autonomous FPVs and the imperative of continuous adaptation make radar‑centric, multi‑sensor architectures indispensable for future battlefield resilience.