Unified Synergy Logic (USL)
Deterministic Sensor Assurance & Low-Probability-of-Intercept (LPI) Telemetry for
Contested Autonomy in all Domains
Core Technology
The Problem with Probabilistic Autonomy
Modern autopilots rely on complex Kalman filtering and deep learning models that guess state transitions based on statistical probability. When contested by electronic warfare, GPS spoofing, or rapid optical occlusion, these models diverge, leading to mission failure. Furthermore, their continuous downlinks light up radio-frequency monitors.
The USL Paradigm: Deterministic Information Valves
Unified Synergy Logic eliminates statistical drift by routing data through formal mathematical valves. Using hyperdimensional unary projections, USL cross-examines incoming telemetry across spatial, kinematic, and integrity dimensions in constant O(1) time. Truth is bounded by physics, not probability.
Technical Pillars
Geometric Sensor Validator (GSV) | Zero-Drift FDIR
Continuously projects disparate sensor streams (mmWave radar, optical depth, radiometry, GNSS) into high-dimensional bitwise vectors. If a sensor deviates from physical kinematic synergy, it is instantly routed to a shadow register. The system self rehabilitates nodes only when truthful physical correlation returns over a verified time window.
Temporal Entropy Dissipation (TED) | Dynamic LPI/LPD
Rather than flooding the spectrum with constant 30–50 Hz radio transmissions, TED calculates the bitwise Hamming distance of platform entropy. When the platform is in a stable kinematic envelope, the transmitter is quenched. Telemetry vents solely as 104-byte snap bursts when real-world thresholds change, drastically minimizing hostile interception risk.
Sub-Watt FPGA Silicon Integration
Because USL avoids floating-point matrix inversions and relies strictly on fundamental bitwise operations , the entire engine executes in microsecond loops on embedded Linux and is structurally optimized for execution on sub-1.5W FPGA gate arrays.