Space-based and Airborne Ground Moving Target Indication Radar: Meta-level Tracking and Resource Management

该项目涉及在最近发射的RADARSAT-2天基雷达和机载雷达(例如加拿大的CP140极光巡逻机机队)中使用多功能雷达进行监视的应用。这种多功能雷达是可以在多种模式下工作的复杂传感器。我们的目标是开发用于陆地和沿海监视移动车辆/船舶的传感器信号处理和信息管理算法。目标是对这种下一代雷达系统的两项重要功能进行研究。(I)元级别跟踪：我们的第一个目标是开发能够监控多个移动目标的宏观级别行为的算法，例如车队中移动的车辆或绕建筑物周围行驶的车辆。(2)第二个目标是开发复杂的随机反馈控制算法，使雷达能够动态适应其环境。也就是说，我们将在开发算法方面进行研究，使雷达能够自主改变发射波形、波束指向方向、驻留时间等。

This project deals with surveillance applications using multifunction radars in the recently launched RADARSAT-2 space-based radar and airborne radars (such as Canada's fleet of CP140 Aurora patrol aircraft). Such multifunction radars are sophisticated sensors that can operate in multiple modes. Our aim is to develop sensor signal processing and information management algorithms for land and coastal surveillance of moving vehicles/ships. The goal is to conduct research in two important functionalities for such next-generation radar systems. (i) Meta-level tracking: Our first objective is to develop algorithms that can monitor macro-level behavior of multiple moving targets such as vehicles moving in a convoy, or a vehicle circling the perimeter of a building. (ii) The second objective is to develop sophisticated stochastic feedback control algorithms that enable the radar to adapt dynamically to its environment. That is, we will conduct research in developing algorithms so that radars can autonomously change their transmit waveforms, beam pointing directions, dwell times, etc.