Formal Representation of Information Processing in Intelligent Surveillance Radar Systems

Abstract

A model of process knowledge in the inter-period processing of signal information in the intelligent surveillance radar systems is proposed. The main features and structural elements of the process knowledge model are presented. It is shown that the advantage of this model deals with the configuration and hierarchical representation of the process for studying the possible structures of single pulse signals or groups of signals within the same radar surveillance based on intelligent signal analysis using the algebra of finite predicates. It is shown how this approach can be used to automate the process of detecting and recognizing the pulsed signals structure from aerial objects such as aircraft, helicopters, UAVs, and extended stationary objects such as clouds, atmospheric inhomogeneities (angel-echoes).