Hierarchical fully adaptive radar

Abstract

By emulating the cognitive perception–action cycle believed to be at the core of animal cognition, cognitive radars promise to improve radar performance over standard systems. The fully adaptive radar (FAR) framework provides a generalised approach to implementing a single cognitive perception–action cycle for radar systems, but complex adaptive problems necessitate the interaction of multiple perception–action cycles. This study describes the general form of the hierarchical FAR (HFAR) framework. The HFAR framework is applied to a single‐target tracking, sensor fusion problem, and real‐time experimental results demonstrate the efficacy of the proposed architecture for handling problems of varying scales in a consistent, adaptive fashion.