The priority assignment for detected targets in multi-function radar

In a multi-function radar, there is a necessity to manage its very limited resources. This management should concern, among other things, the characterization of the importance of detected targets. Hence, information on those with lower priority will be refreshed more rarely. The ranking procedure is based on features recognized as important from the point of view of, for example, air force tactics and anti-aircraft defense. The presented paper describes a system that assigns ranks for all detected objects in real time and then puts targets in order of priority. The system is based on an artificial neuron structure. Methods of neuron learning are discussed.