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Integrated C-UAS Battle Management (Sensor Fusion)

DetectionOpen-Source Verified

Software backbone that fuses radar, EO/IR, RF, and acoustic sensors into a single common operating picture, then auto-cues the cheapest effective effector against each track. Solves the swarm problem: every individual sensor and effector above fails when 20+ tracks appear simultaneously. This is the actual difference between systems that survive Shahed waves and systems that don't.

How It Works

Sensor inputs are time-aligned and correlated into unified tracks with confidence scores. A rules engine (often AI-assisted) prioritizes by threat (warhead size, vector, target value) and auto-recommends the cheapest effector that meets the kill probability — net gun for a Mavic, jammer for an RF-link FPV, gun for a Shahed, missile only for the highest-value outliers. Operator approves; the system slews and fires.

Technical Specifications

range
Sensor-network dependent
cost
$2M–$50M per installation (software + integration)
deployment Time
Weeks (integration + training)
crew Required
2–6 operators per BMC
weight
Server racks / mobile shelter
power Requirement
5–20 kW

Advantages

  • + Only practical answer to swarm and salvo attacks
  • + Multiplies the effectiveness of every existing sensor and effector
  • + Saves expensive interceptors for outliers — gun/jammer handles the bulk
  • + Common operating picture for joint / coalition use

Disadvantages

  • Complex integration across legacy sensors and effectors
  • Single point of failure if the BMC node is destroyed or cyber-attacked
  • Requires trained operators and well-defined ROE
  • AI/automation introduces edge-case engagement risks

Tactical Deployment Tips

  • Distribute BMC nodes — never single-point
  • Pre-load engagement rules per environment (urban vs. open field) to cut decision latency
  • Wargame swarm scenarios regularly — ROE gaps surface only under load

Limitations & Vulnerabilities

  • Cannot create capability that the underlying sensors/effectors lack
  • Vulnerable to cyber and EW attack on its own data links

Drones It Defeats

Drone types ranked by how well this system defeats them — tap any drone for details

⚠ How Adversaries Defeat This System

Active enemy adaptations observed in the field — distinct from passive limitations above

  • Cyber attack on the BMC or its data links
  • Kinetic strike on the BMC node (single point of failure if not distributed)
  • Saturation beyond combined effector throughput, regardless of fusion quality

Sources & Further Reading