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: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=618755
• 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.

跟踪移动的对象的状态（例如，地面车辆、船舶、飞行器、人）在通信、执法、国防和生物医学工程中有许多应用。各种各样的传感器（例如，雷达、视频、声纳、红外），其可以是固定的或安装在移动的平台上（例如，飞行器、卫星、船舶、汽车）可用于生成测量，所述测量又用于估计移动的对象的未知状态。随着传感器、计算机硬件和软件技术的最新进展，可以响应于不断变化的环境来真实的实时地自适应地修改传感器的处理、操作模态和配置。例如，利用有源电子扫描阵列（AESA）雷达，可以真实的时间自适应地改变波形、采样时间和感测模式。自适应的目的是提供快速响应能力或敏捷性。通过自适应，可以获得最准确的目标检测，状态估计和分类结果（即，通过尽可能地减轻环境的影响、建模的不确定性和传感的不准确性，充分利用可用的传感器）。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，特别是应用到机载监视系统中的AESA雷达的多传感器多目标跟踪。经过一些修改，同样的概念也可以用于智能公路系统（IHS）和海上船舶交通管理服务（VTMS）系统。