Kinematic Defense Solving the Tensor Bottleneck in Counter UAS

A fundamental transition in counter-drone defense from signal-based interception to predictive kinematic tracking. It highlights how modern autonomous drones bypass traditional electronic warfare by maintaining radio silence, thereby rendering legacy systems such as the USAF NINJA program ineffective. To solve this, the Predictive Tensor Control Plane (PTCP) uses advanced multilinear algebra and Tensor Train decomposition to process massive volumes of physical tracking data without the typical lag associated with high-dimensional computing. This mathematical framework enables defense networks to compress complex telemetry into zero-latency firing solutions for kinetic interceptors such as the Anduril Anvil. By focusing on optical flow and physical movement rather than radio frequencies, the system ensures successful neutralizations regardless of an adversary's encryption or autonomy. Ultimately, the source argues that mathematical modeling of physical motion is the only reliable way to secure airspace against sophisticated drone swarms.

Видео Kinematic Defense Solving the Tensor Bottleneck in Counter UAS канала Tensor