Intelligent classification​

AI, Cognitive Adaptation and micro-Doppler

An AI interface is being built into the next generation of our sensors to adaptively determine the characteristics of the target, and ultimately determine the distinction between friend and foe

The MMI-100 C-sUAS Radar uses Artificial Intelligence and (AI) and Cognitive Adaptative optimization in a tight feedback loop, greatly improving target classification over traditional fixed-mode radars. It is able to finely resolve micro-Doppler, separate the propellers and rotational rates, measure SUAS dynamics, control system characteristics and maneuverability. 

Micro-Doppler is the gold standard in differentiating a hostile a single sUAS or swarm from natural targets such as birds, as well as in identifying types of sUAS.

The MMI-100 C-sUAS optimally allocates radar resources by tracking targets while extracting micro-Doppler and maintaining situational awareness over a large surveillance area.

Drone micro-Doppler: This image displays the micro-Doppler spectrum of a maneuvering drone captured using the MMI-100. Beyond target identification, the richly detailed micro-Doppler spectrum can reveal information such as the number and speed of the propellers and the dynamics of the drone control system.

Falcon micro-Doppler: This image shows the micro-Doppler spectrum of a Peregrine falcon taking flight from a perch captured using the MMI-100. The wing beats create an unmistakeable signature which is clearly distinguished from the micro-Doppler spectrum of a drone.

Real time imaging and adjustments

aiRadar’s MMI-100 platform brings unprecedented flexibility to radar technology by enabling real-time adjustments to imaging parameters. This adaptability allows for the application of sophisticated algorithms that optimize radar performance for various needs.

  • Dynamic Adaptation: The MMI platform swiftly adjusts settings on the fly, pausing routine scans for targeted high-resolution analysis when needed, then resuming without missing a beat.
  • Enhanced Target Analysis: It utilizes precise bursts to capture detailed Doppler data on drones, employing advanced techniques for accurate height and distance measurements.
  • Optimal Resource Utilization: This system dynamically shifts between radar modes—SAR, RAR, and custom—tailored to the specific demands of each mission, ideal for mobile platforms.
  • Dynamic Positioning Application: Operating at 66 GHz, the radar ensures precise navigation by accurately tracking movements relative to fixed points in real time.