The priority assignment for detected targets in multifunction radar

Abstract

In a multifunction radar there is necessity to manage its very limited resources. This management should concern, among others, detected targets importance description. So information of those with lower priority will be refreshed more rarely. Presented paper describes system that assigns ranks for all detected objects in real time and then puts targets in order of priority. The system is based on structure of artificial neuron. Methods of neuron learning are discussed.