Knowledge-Based Resource Management for Multifunction Radar

n recent years, phased array antenna technology has been maturing rapidly, and this form of transduction is set to become the norm in complex and advanced radar systems. Instantaneous, adaptive beam pointing enables the combination of functions such as tracking, surveillance, and weapons guidance, which previously were performed by separate , dedicated individual radar systems. However, while being able to instantaneously and adaptively position and control the beam has clear advantages, it also brings about a new set of challenges. In particular, this form of radar is able to adapt its parameters according to the way it perceives its environment. Thus, the interpretation of radar backscatter and the subsequent decisions as to what and how radar resources are to be allocated becomes vital to unleashing the full potential of a phased array system. This dynamic and interactive interplay between the setting of radar parameters to optimize the tasks to be carried out and perception of environment highlights the role in which knowledge and intelligence will be central in multifunction radar performance. For example, the system has to share its time between all the different types of functions that it has to perform. This means that in certain operating conditions, it may not have enough resources to perform all required tasks. In this instance, a control system has to evaluate the allocation of resources to provide the best solution. The radar resource

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