Effector Matching Engine

Overview#

The Effector Matching Engine automates the process of pairing detected targets with available engagement assets (effectors). When a target is confirmed from any sensor source -- GMTI radar, acoustic triangulation, video analytics, or OSINT -- the engine evaluates all available effectors and produces a ranked list of engagement options scored across multiple factors. The system supports the full engagement workflow from proposal through confirmation, execution, and battle damage assessment, maintaining a complete audit trail for post-action review.

Key Features#

Multi-Factor Scoring#

Each candidate effector is scored against the target using configurable weighted factors: range feasibility (can the effector reach the target), type match (is the effector appropriate for the target category), readiness state (is the effector available and operational), ammunition availability (does the effector have suitable munitions), line-of-sight feasibility (informed by terrain analysis), risk assessment (collateral damage estimation and friendly force proximity), and time-to-effect (how quickly the effector can engage). The resulting composite score ranks all options for the operator.

Configurable Doctrine Weights#

Scoring weights are configurable per tenant organisation, allowing different forces to encode their doctrine and rules of engagement into the matching algorithm. A force prioritising minimal collateral damage increases the risk weight; a force in a high-intensity scenario may prioritise time-to-effect. Weight profiles can be saved and switched based on operational phase.

Engagement Workflow#

The engagement lifecycle follows a structured workflow: Propose (engine generates ranked options), Confirm (operator selects and authorises an engagement), Execute (engagement is initiated and tracked), Assess (battle damage assessment is recorded). Each state transition is logged with operator identity, timestamp, and justification. The workflow enforces mandatory confirmation before execution, preventing automated engagement without human authorisation.

Battle Damage Assessment#

After engagement execution, the system captures battle damage assessment (BDA) data including observed effect, target status (destroyed, damaged, functional, unknown), assessment source (sensor, visual, report), and confidence level. BDA results feed back into the operational picture, updating target status and informing follow-on engagement decisions.

Multi-Source Target Ingestion#

The engine accepts targets from all platform sensor sources: GMTI radar tracks, acoustic triangulation fixes, video analytics detections (including high-value target classifications), OSINT-derived locations, and manually reported positions. Each target retains its source provenance through the engagement lifecycle.

Use Cases#

• Fire Support Coordination - Rapidly match detected targets to available fire support assets across artillery, mortar, air support, and direct fire systems, presenting commanders with ranked engagement options.
• Air Defence - Match detected aerial threats (drones, aircraft) to available air defence systems based on range envelope, engagement altitude, and missile availability.
• Counter-Battery - Receive acoustic-triangulated enemy artillery positions and immediately generate counter-fire options ranked by response time and available ammunition.
• Joint Fires - Coordinate engagement across multiple force elements by evaluating effectors from different units against shared target lists, deconflicting engagements to prevent duplication.
• Post-Action Review - Review complete engagement chains from initial detection through BDA, supporting lessons-learned analysis and doctrine refinement.

Integration#

• Acoustic Sensor Network - Receives triangulated source locations as engagement targets.
• GMTI Radar Monitoring - Receives confirmed radar tracks as engagement targets.
• Military Video Analytics - Receives high-value target detections with geocoded positions.
• Terrain Analytical Modeling - Queries line-of-sight and elevation data for engagement feasibility assessment.
• Unified Operational Events - All engagement workflow transitions generate events in the unified timeline.
• Drone Operations Management - Drone assets are included as candidate effectors when armed UAS are available.

GraphQL:

effectorAssets

engagementProposals

engagementHistory

battleDamageAssessments

proposeEngagement

confirmEngagement

recordExecution

submitBDA

updateDoctrineWeights

Last Reviewed: 2026-04-02