Cognitive Radar Information Networks for Security - Enhancing Risk Mitigation for Reducing Operator Overload

The paper presents a practical foundation for building and deploying affordable, cognitive radar information networks (CRINs) to secure large, unmanned borders such as the 3,700 km Canada/U.S. border that runs through the Great Lakes. The proposed systems and methods are novel and necessary if radar's future in the 21st century is to embody the risk management principles needed to optimize system and operator resources for detection of suspicious target behaviour. Human cognitive abilities of attention and intelligence are proposed as cardinal characteristics that are built into CRINs to provide force multiplication and reduce operator overload.