Anomaly Detection, Classification, and Distribution in Next Generation Radar-Based Monitoring and Control Systems

监测和控制复杂系统中的活动，如跟踪海上船只和空中交通的雷达系统，具有重要的安全和安保职能。然而，鸟类、直升机、无人飞行系统(UAS)和其他空中和海上物体可能会对这些环境中的车辆造成重大安全威胁。在这些环境中为人类操作员设计决策支持系统的设计者越来越面临跟踪和处理这些非主要对象的问题。通常，这些物体被认为是杂乱的，为了避免人类操作员的模棱两可和分心，已经从雷达屏幕上显示的数据中删除了这些物体。然而，这些环境的日益复杂意味着，探测并向操作员展示这些非主要目标是提高空中交通和海上指挥控制系统的安全性、安全性和可靠性的重要机会。

Monitoring and controlling activity in complex systems such as radar systems for tracking maritime vessels and air traffic provides important safety and security functions. However, birds, helicopters, Uninhabited Aerial Systems (UASs) and other airborne and maritime objects can create significant safety hazards for vehicles in these environments. Designers of decision support systems for human operators in these environments are increasingly faced with the problem of tracking and processing these non-primary objects. Typically these objects have been viewed as clutter and, to avoid ambiguity and distractions for the human operator, have been removed from the data displayed on radar screens. However, the increasing complexity of these environments means that detection and presentation of these non-primary objects to operators is an important opportunity to increase the safety, security and reliability of the air traffic and maritime command and control systems.