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

下一代雷达监控系统中的异常检测、分类和分布

• 批准号: 398768-2010
• 负责人: Histon, Jonathan
• 金额: $ 2.51万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=487700
• 关键词: Anomaly; Detection; Classification; Distribution; Next

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.

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，提供了重要的安全和安保功能。 然而，鸟类、直升机、无人机系统（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隐患。 决策支持系统的设计人员在这些环境中的人类操作员越来越多地面临着跟踪和处理这些非主要对象的问题。 通常，这些物体被视为杂波，并且为了避免模糊和干扰操作人员，已经从雷达屏幕上显示的数据中删除。 然而，这些环境日益复杂，这意味着探测这些非主要物体并将其呈现给操作人员是提高空中交通和海上指挥和控制系统的安全、安保和可靠性的重要机会。