An Evaluation of Task and Information Driven Approaches for Radar Resource Allocation
Kristine L. Bell, Chris Kreucher, Muralidhar Rangaswamy · 2021
This paper describes an evaluation of different methods of radar resource allocation. The evaluation operates in a cognitive fully adaptive radar framework, specialized to concurrent tracking and classification of multiple airborne targets using a single airborne radar platform. The framework is based on the perception-action cycle of cognition and includes a perceptual processor that performs multiple radar system tasks and an executive processor that allocates system resources to the tasks to decide the next transmission of the radar on a dwell-by-dwell basis. We compare allocation algorithms using task-based and information-based strategies. Our main contribution is the illustration of the allocation algorithms in a MATLAB-based testbed and a comparison of the performance and the sensor task selections made by each.