Multi-Sensor Extension of Radar Resource Management Approach Q-RAM
Christoph Vollweiter, Folker Hoffmann · 2024
This paper extends the single radar resource management approach Q-RAM for multiple radar sensors. It optimizes sensor task assignments as well as their radar control parameters jointly based on quality of service. Our method uses single sensor performance models and hence avoids the large parameter space of multi-sensor performance models, which increases exponentially with the number of sensors. This reduces the computational requirements significantly as well as the possible reaction time. The trade-off to this reduction is that our algorithm does not support the execution of the same task on multiple sensors during the same planning period. Though, over multiple planning periods, the tracker can still receive measurements originating from different sensors which allows to exploit the spatial geometry of widely separated sensors. Hence, our method is especially well suited for applications with restricted processing power that need fast reaction times. A simulated tracking scenario shows that the proposed method achieves significantly superior performance to a locally optimized resource management approach as well as to a distance-based assignment. It further accomplished almost identical performance to an approach that employs an exhaustive search to find the best sensor task assignment.