Synchronisation Challenges in Radar Networks
Anum Pirkani, Muge Bekar, Natalie Reeves · 2026
The fusion of measurements from multiple sensing nodes in a distributed radar network is essential for reliable 360° situational awareness, but it depends on precise inter-sensor synchronisation. This work analyses how timing, carrier-frequency, and sampling-rate offsets map into structured inter-sensor phase distortions that reduce coherent gain and defocus images. We develop a unified error-to-phase model to derive mitigation strategies that maintain coherence under representative timing, jitter, and intermittent decorrelation due to occlusion and shadowing.