On the Fractional Fourier Transform for FMCW Radar Interference Mitigation
Cleaning up radar signals when multiple sensors interfere with each other
When multiple FMCW radars operate near each other, their signals interfere and create false readings. Researchers developed a faster mathematical approach using the fractional Fourier transform that removes this interference, can handle multiple conflicting signals at once, and works on real radar equipment in actual environments.
FMCW radars are used in autonomous vehicles, collision avoidance systems, and industrial sensing—all applications where multiple radars operate in close proximity. Interference causes missed detections and ghost objects, creating safety risks. A practical method to eliminate this interference without expensive hardware upgrades means existing radar systems can work reliably in crowded electromagnetic environments.