Fully Adaptive Resource Management in Radar Networks

We present a fully adaptive radar network testbed that consists of four monostatic X-band radar sensors and a centralized controller which uses a perception-action cycle to optimize radar parameter in real time. The sensor hardware and the control algorithms are presented and explained. In a second part of the paper, we present results from outdoor experiments where an optimized radar resource allocation has been considered. Given a predefined track performance, the radar network is able to save resources by reducing the bandwidth to the amount needed for an accurate tracking and by operating only the sensors with the best measurement contributions to the active tracks.