← Back to Blogs

Counter-UAS at Scale: Multi-Sensor Fusion + AI Triage, From Detect to Defeat

Operators in a joint C-UAS cell review fused tracks and authorize a low-collateral effect while dashboards display latency and false-alarm metrics.

Published on: October 12, 2025Author: Smart Tech LLC
Operators in a joint C-UAS cell review fused tracks and authorize a low-collateral effect while dashboards display latency and false-alarm metrics

Why Now

Small UAS are saturating contested airspace, compressing decision timelines and overwhelming manual workflows. New U.S. policy and allied programs have shifted from gadget-of-the-year buys to data-centric, multi-sensor architectures with AI triage to keep the kill chain inside seconds at sustainable cost. Washington stood up a cross-government push this year to "restore American airspace sovereignty," while the Army consolidates counter-UAS leadership in a new joint task force. NATO/EU and Australia are moving in parallel toward open standards, common training, and measured trials. The signal is clear: scale what works, prove it in metrics, and harden the enterprise. (GovInfo)

Executive Summary

  • Architectures beat gadgets. The decisive shift is to an open, standard-based C2 fabric with edge AI triage, not one-off sensors.
  • Seconds matter. Demonstrated <0.25 s pairing and a 10–15 s detect→decide target enable defense under saturation. (European Security & Defence)
  • Measure what counts. Set and verify Pd ≥0.9 and FAR ≤0.1/min at 1 km, with common range cards and clutter scenarios. (MDPI)
  • Economize the kill chain. Reserve interceptors for leakers; shift ≥70% of defeats to EW/laser to cut expense by orders of magnitude.
  • U.S. governance tightened. EO 14305 clarifies airspace protection tasks; Task Force 401 centralizes small-UAS countering. (GovInfo)
  • NATO/EU standardization. SAPIENT and NCIA training enable coalition plug-and-fight and portable operator skills.
  • Australia scales quickly. A$1.3B plan, Land 156 integrator, and DE trials signal a continuous modernization model. (Defence Ministers)
  • Acquisition cadence. Use OTAs for fast pilots, then IDIQs for scale; tie payments to latency/Pd/FAR and availability KPIs. (Acquisition.gov)

Operational Context & Doctrine Fit

DoD's counter-UAS posture pivots on policy and programmatic changes in 2024–2025:

  • Executive Order 14305 (June 6, 2025) created a federal task force and directed FAA actions to protect critical sites, clarifying authorities and accelerating rulemaking. (GovInfo)
  • CRS overview (Mar 31, 2025) details current programs and congressional direction to accelerate C-UAS investments and fielding. (Congress)
  • DoD fact sheet (Dec 5, 2024) summarizes departmental lines of effort: sensing, C2, defeat, and interagency coordination. (australiandefence.com.au)
  • Army consolidation (Aug 2025): creation of Task Force/JIATF-401 to centralize small-UAS countermeasures and buying power. (Breaking Defense)

NATO/EU doctrine emphasizes interoperability and open interfaces:

  • SAPIENT (Sensor API Enabled Networked Technologies) adopted across NATO exercises and now a UK government-backed case study for multi-sensor C2—think of it as the "USB for ground sensors."
  • NATO C-UAS training expansion (Mar 25, 2025) via the NCIA: standardized curricula, shared ranges, and test events.
  • EU JRC (2024) published a sensor-fusion visualization platform and KPI framing for multi-sensor DTI (detect-track-identify). (JRC Publications)

Canonical grounding. Earlier baselines—the 2020 DoD C-sUAS Strategy and STANAG 4676 (track data model)—still underpin today's data architecture decisions. (DOTE)

Architecture Primer (Data Fabric, Edge/Cloud, Comms Constraints)

Pattern. A layered, standards-based C2 fabric with edge AI triage:

  1. Sensing layer: short-range 3D radar for initial tracks; RF detection and DRI/Remote ID parsing; EO/IR for classification; optional acoustics in dense clutter. Each sensor contributes a time-stamped, geo-referenced observation. (SAPIENT/4676-style messaging strongly recommended for cross-vendor fusion.) (Edison Smart)
  2. Edge fusion & AI triage: on-prem nodes fuse multi-modal tracks, de-duplicate birds/balloons, and rank threats by intent indicators. Recent U.S. testing shows AI battle managers can compute weapon-target pairing in <0.25 s, enabling sub-10-second detect-to-engage loops when links are healthy. (European Security & Defence)
  3. C2/data fabric: FAAD C2 remains the DoD's service-agnostic backbone for C-UAS, integrating SHORAD, C-RAM, and C-UAS on one pane of glass; it is cyber-certified, safety-critical, and fielded with allies. (Northrop Grumman)
  4. Comms-aware behavior: when SATCOM/mesh links degrade, the edge policy engine authorizes low-collateral effects (e.g., RF denial) and holds kinetic shots until ROE data is verified. When comms are robust, targets and engagement recommendations feed higher-echelon COPs (e.g., JADC2 participants) for de-confliction. (Yuma testing infrastructure continues to validate these workflows.) (Army)

Latency Budget (Design Target, Contested Airspace)

  • Radar/RF first detection: 0.5–2 s update cadence
  • EO/IR cross-cue + classify: 2–5 s
  • AI triage/weapon pairing: <0.25 s (demonstrated) (European Security & Defence)
  • C2 authorization + shooter cue: 2–5 s
  • Goal: ≤10–15 s detect→decision under nominal links; graceful degradation at the edge during jamming.

Performance & Cost Analysis

ApproachDetect → pair latency (s)Indicative PdIndicative FARIndicative cost/shot
Edge AI triage + EW denial3–60.85–0.9≤0.2/min (target)$10s–$100s
Edge AI triage + HEL (laser)4–80.9–0.95≤0.1/min (target)~$10
Edge AI triage + interceptor6–120.95+≤0.05/min (target)$125k–$500k

One-line takeaway: Use AI triage to reserve expensive shots for leakers—most defeats should be low-collateral and low-cost. (Latency reference includes <0.25 s pairing claims; costs per CNAS.) (European Security & Defence)

Mini-Case Studies

U.S.—FAAD C2 + LIDS/KuRFS + Coyote

Across multiple test periods, the Army's LIDS family leverages Ku-band radar (KuRFS) for 360° tracks, FAAD C2 for fusion, and interceptors or non-kinetic options for defeat. Public reporting indicates swarm stress tests and continuing fielding; DoD recently awarded multi-billion dollar production contracts to scale. (Northrop Grumman)

U.S.—AI Battle Manager at Yuma

2024 testing reported sub-quarter-second engagement planning for complex swarms, pointing to the role of AI in shortening the kill chain while keeping a human on the loop. (European Security & Defence)

U.S.—Low-Collateral Defeat (DIU/NORTHCOM/JCO)

A 2025 solicitation seeks scalable, low-collateral effects for congested domestic airspace—precisely the use case for AI triage and sensor fusion to minimize fratricide and legal risk. (Defense Information University)

NATO/EU—Interoperability First

SAPIENT standardization and NATO training expansions are making sensors/effectors plug-and-play and operator-training portable across forces—"bring your radar; it'll speak the language." EU JRC's platform and KPI work are the early analytical scaffolding. (JRC Publications)

Australia—Land 156, Continuous Modernization

Canberra is investing A$1.3B over ten years in a counter-drone portfolio; 2025 announcements include a systems integration partner, rapid minimum-viable demos, and an emphasis on sovereign content. Directed-energy prototypes are already on range. (Defence Ministers)

Economics (Sustainment, Training, Integration)

Think of the layered system like a hospital: triage is cheap and fast; surgery is precise but costly. The art is sending as few cases as possible to the operating room.

Layered elementPrimary roleTypical O&M driverIndicative unit/shot costNotes
Edge fusion + AITriage, cueingGPU/CPU refresh; model updates$— (software)Sub-second pairing demonstrated. (European Security & Defence)
EW/RF denialLow-collateral defeatSpectrum surveys; deconfliction$10s–$100s per effect (energy)Cost per effect is orders lower than kinetic.
High-energy laserHard-kill, preciseThermal mgmt; optics upkeep~$10 per shot(energy)Cost figures widely cited in DoD/think-tank discussions.
Kinetic interceptorHard-kill, leakersMissile inventory; re-arm time$125k–$500k per shotMission-kill reliability; escalates with swarms.
Operator trainingSustain readinessCourse hours; simulator time$3k–$10k/operatorNATO/NCIA expanding standardized courses.
Test & evaluationReduce FAR/Pd riskRange time; instrumentation$100k–$M/eventYuma/NTC test infrastructure; joint demos. (Army)

Quantification pointers. Recent reviews report EO/IR ML detection ~70% Pd with ~3% FAR in constrained trials; multi-sensor fusion typically improves Pd and lowers FAR, but standardized, public test methods are still maturing. Aim for Pd ≥0.9 and FAR ≤0.1/min at 1 km for defended zones as a design target, then prove it in joint trials. (Preprints)

Risk & Governance

  • Safety case. Follow FAA ARC recommendations for detection/mitigation at public venues and critical infrastructure: clearly defined geofences, escalation ladders, and evidentiary logging. (FAA)
  • Cyber & resilience. Harden edge nodes (SBOMs, signed models), and test under spectrum denial. Maintain graceful degradation policies at the edge for comms-out operations; log decisions for post-hoc review. (Army Yuma/NTC environments provide the adversarial RF you need.) (Army)
  • Test realism. Standardize Pd/FAR range cards across RF/EO/IR/radar, with common weather/bird-clutter scenarios; publish at least summary metrics to allies. (EU JRC and recent academic work propose comparable KPIs.) (JRC Publications)
  • Change management. Treat model updates like munitions: configuration-controlled, rollback-ready, and validated in sim-to-range gates.

Acquisition Playbook (Phased Rollout 90/150/210 Days)

Day 0–90: "Prove the Fabric"

  • Compete an integration-first pilot under OTA to stand up SAPIENT/4676-compatible ingest, FAAD C2 adapters, and edge AI triage on two sites.
  • KPIs: latency ≤15 s end-to-end; Pd ≥0.85; FAR ≤0.2/min; data provenance logs 100%. (Acquisition.gov)

Day 90–150: "Beat the Clutter"

  • Add a third site with heavy bird and RF congestion; introduce a low-collateral effector and run joint test events(Yuma/NTC track).
  • KPIs: Pd ≥0.9; FAR ≤0.1/min at 1 km; operator interventions per hour ↓50%. (Army)

Day 150–210: "Scale & Sustain"

  • Transition to IDIQ for additional sites, with training bundles via NATO/NCIA-aligned curricula for partners.
  • KPIs: MTTR for edge nodes ≤4 h; site Ao ≥0.95; mean detect-to-engage ≤12 s; cost-per-defeat mix skews ≥70% non-kinetic for Class-1/2 threats. (Unmanned Airspace)

12-Month Watchlist

  • U.S. JIATF-401 resourcing and the follow-on to JCO demo cycles—expect updated test rubrics and procurement signals. (Breaking Defense)
  • DIU low-collateral defeat down-selects and Replicator-adjacent integration. (Defense Information University)
  • NATO SAPIENT profiles maturing toward wider STANAG alignment; more NCIA courses and multinational ranges.
  • EU JRC follow-ups on fusion KPIs and DRI/geo-zone tooling. (JRC Publications)
  • Australia Land 156 rapid demos (Southern Arrow) and directed-energy trials entering user evals. (Asian Military Review)

Fact-Check Table

ClaimSourceDateConfidence (1–5)
EO 14305 established a federal airspace sovereignty task force and directed FAA actions.FR 90 FR 24719. (GovInfo)2025-06-115
Army consolidating small-UAS countering in Task Force/JIATF-401.Breaking Defense; DefenseScoop. (Breaking Defense)2025-084
AI engagement pairing computed in <0.25 s during testing.Euro-SD report on FAAD C2 ABM. (European Security & Defence)2024-103
CNAS places lasers/EW at ~$10–$100 per effect vs $125k–$500k interceptors.CNAS cost-per-shot analysis.2025-09-035
NATO/NCIA expanding standardized C-UAS training.NCIA news release.2025-03-255
EU JRC published a multi-sensor fusion platform/KPI framing.EU JRC report JRC137155. (JRC Publications)20245
Australia committed A$1.3B to C-UAS over ten years and selected an integrator.Minister speeches + Asian Military Review. (Defence Ministers)2025-08/094

Sources

  • Executive Order 14305: Restoring American Airspace Sovereignty, Federal Register 90 FR 24719, June 11, 2025. (GovInfo)
  • CRS R48477: Department of Defense Counter Unmanned Aircraft Systems, Mar 31, 2025. (Congress)
  • DoD: Fact Sheet—Countering Unmanned Aerial Systems (UAS), Dec 5, 2024. (australiandefence.com.au)
  • Breaking Defense: Task Force 401: Army to lead on countering small UAS, Aug 29, 2025. (Breaking Defense)
  • NCIA: NATO strengthens Allies' counter-drone defence training, Mar 25, 2025.
  • GOV.UK/Open Gov Case Study: Using SAPIENT to fuse 14 sensors…, July 2025.
  • EU JRC: Counter-drone visualization platform incorporating sensor-data fusion, 2024. (JRC Publications)
  • CNAS: Cost-per-shot and the demand for air defense, Sept 3, 2025.
  • Northrop (reported via Euro-SD): AI added to FAAD C2—under 0.25 s planning, Oct 10, 2024. (European Security & Defence)
  • U.S. Army/ATEC & Army News: Yuma/NTC C-UAS test reporting (2024–2025). (Army)
  • DoD: Counter-small UAS Strategy, 2020. (DOTE)
  • NATO STANAG 4676: Ground Moving Target Indicator (tracking) v1.0, 2014. (Edison Smart)
Counter-UAS AIMulti-Sensor FusionFAAD C2SAPIENT StandardJADC2 Data Fabric

Ready to Implement Counter-UAS Solutions?

Contact us to discuss how multi-sensor fusion and AI triage can provide scalable, cost-effective defense for your critical airspace.