Software-Controlled Active Electronically Scanned Array Radar for Airbone Ground Surveillance

用于机载地面监视的软件控制有源电子扫描阵列雷达

• 批准号: 500634-2016
• 负责人: Kirubarajan, Thia
• 金额: $ 5.97万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Department of National Defence / NSERC Research Partnership
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=692272
• 关键词: Software; Controlled; Active; Electronically; Scanned

Tracking the states of mobile objects (e.g., ground vehicles, ships, aircraft, people) has many applications in communications, law enforcement, defense and biomedical engineering. A wide variety of sensors (e.g., radar, video, sonar, infrared), which may be stationary or mounted on mobile platforms (e.g., aircraft, satellites, ships, cars), are available to generate measurements that are in turn used to estimate the unknown states of mobile objects. With the recent advances in sensor, computer hardware and software technologies, it is possible to adaptively modify the processing, operational modality and configuration of sensors in real time in response to the ever-changing environment. For example, with an active electronically scanned array (AESA) radar, one can adaptively change waveforms, sampling time and sensing mode in real time. The objective of adaptation is to provide rapid response capability or agility.With adaptation, it is possible to obtain the most accurate object detection, state estimation and classification results (i.e., get the best out of the available sensors) by mitigating as much as possible the effects of the environment, uncertainties in modeling and inaccuracies in sensing. This is precisely the motivation for the proposed work. In this project, we propose to develop a set of adaptive algorithms with particular application to multisenor-multitarget tracking in airborne surveillance systems with an AESA radar. With some changes, the same concepts can be used in intelligent highway systems (IHS) and maritime vessel traffic management service (VTMS) systems as well.

跟踪移动物体（例如地面车辆、船舶、飞机、人员）的状态在通信、执法、国防和生物医学工程中有许多应用。各种传感器（例如雷达、视频、声纳、红外线）可以是固定的或安装在移动平台（例如飞机、卫星、船舶、汽车）上，可用于生成测量值，进而用于估计移动物体的未知状态。随着传感器、计算机硬件和软件技术的最新进展，可以实时自适应地修改传感器的处理、操作模式和配置，以响应不断变化的环境。例如，使用有源电子扫描阵列（AESA）雷达，可以实时自适应地改变波形、采样时间和传感模式。自适应的目标是提供快速响应能力或敏捷性。通过自适应，可以通过尽可能减轻影响来获得最准确的物体检测、状态估计和分类结果（即，充分利用可用传感器）环境的影响、建模的不确定性和传感的不准确性。这正是拟议工作的动机。在这个项目中，我们建议开发一套自适应算法，特别适用于带有 AESA 雷达的机载监视系统中的多传感器多目标跟踪。经过一些改变，相同的概念也可以用于智能高速公路系统（IHS）和海上船舶交通管理服务（VTMS）系统。