Crate counter_awareness 

Counter-Awareness: Detection/Counter-Detection Formalization

A primitive-grounded framework for modeling multi-spectral detection and counter-detection systems.

Architecture

primitives   → matrix    → detection → fusion → device
(T1 atoms)   (8×8 map)   (single)    (multi)  (stateful)

Core Equation

P_detect(sensor, target, range) =
    (1 - exp(-SNR)) × exp(-α × r/r_max)

where SNR = max(S_residual_i) / noise_floor
      S_residual = S_raw × ∏(1 - M[p][c])

P_fused = 1 - ∏(1 - P_detect_i)

Lex Primitiva Grounding

Crate-level: {κ, μ, N, Σ, ς, π, ∂}

• κ (Comparison): threshold-based detection
• μ (Mapping): effectiveness matrix
• N (Quantity): probabilities, measurements
• Σ (Sum): sensor fusion, state enumeration
• ς (State): device state machine
• π (Persistence): measurement log
• ∂ (Boundary): counter-awareness = boundary enforcement

Modules

detection

Detection Probability Model

device

Device Configuration, State Management & Measurement System

fusion

Multi-Sensor Fusion & Optimal Countermeasure Selection

matrix

Detection/Counter-Detection Effectiveness Matrix

primitives

Sensing & Counter-Awareness Primitives