Advanced Signal Processing for Future Mission Systems

适用于未来任务系统的先进信号处理

• 批准号: 544375-2019
• 负责人: Rajan, Sreeraman
• 金额: $ 8.96万
• 依托单位: Carleton 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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=699783
• 关键词: Advanced; Signal; Processing; Future; Mission

The objective of this proposal is to develop innovative and advanced signal processing algorithms for future mission systems that are capable of better exploiting the novel capabilities and flexibilities provided by next-generation sensors. Specifically, this proposal will focus on three main components with a view towards future mission systems: a) Development of advanced sensor signal processing for next-generation active and passive surveillance sensors including airborne electronically scanned array radars (AESA), cognitive electronic warfare sensors, electro-optical/infrared imaging sensors; b) Data exploitation for fusion of imaging and non-imaging sensors; c) Development of robust machine learning algorithms that is resilient to adversarial attacks and interferences. This project will be executed using bona fide data sources that will guide the development of the algorithms capable of accommodating constraints in implementing mission systems. The innovative approaches developed over the course of this proposal will be implemented and tested on real systems in close collaboration with the industry partner, General Dynamics Mission Systems - Canada (GDMS-C) alongside expertise provided by scientists at Defence R and D Canada (DRDC). GDMS-C is seeking the development of an indigenous leading-edge technological solutions for their future mission systems through collaborative research. This proposal will train 19 highly qualified personnel: 2 Post doctoral fellows, 2 PhD, 6 MASc, and 9 undergraduate students. These HQP will be equipped with knowledge and unique transferable skills that are in high demand in industry and national government laboratories across Canada. This project will help GDMS-C in developing future land-based and airborne mission systems and DRDC will use the technologies to guide the incorporation of such systems for enhancing national security that will be based on state-of-the-art technologies developed over the course of the next three years.

这项提议的目标是为未来的任务系统开发创新和先进的信号处理算法，这些算法能够更好地利用下一代传感器提供的新能力和灵活性。具体地说，这项提议将侧重于三个主要组成部分，以展望未来的特派团系统：(A)为下一代主动和被动监视传感器，包括机载电子扫描阵列雷达、认知电子战传感器、光电/红外成像传感器，开发先进的传感器信号处理；(B)为成像和非成像传感器的融合利用数据；(C)开发能够抵御敌方攻击和干扰的强大机器学习算法。该项目将使用真正的数据来源来执行，这些数据来源将指导开发能够适应执行特派团系统的限制的算法。在本提案过程中开发的创新方法将与行业合作伙伴加拿大通用动力任务系统公司(GDMS-C)以及加拿大国防部研发中心(DRDC)的科学家提供的专业知识密切合作，在真实系统上实施和测试。GDMS-C正在寻求通过合作研究为其未来的任务系统开发本土尖端技术解决方案。这项提议将培养19名高素质人才：2名博士后研究员、2名博士、6名硕士和9名本科生。这些HQP将配备知识和独特的可转让技能，这些技能在加拿大各地的工业和国家政府实验室中需求很大。该项目将帮助GDMS-C开发未来的陆基和机载任务系统，DRDC将使用这些技术来指导纳入这些系统，以加强国家安全，这些系统将基于未来三年开发的最先进技术。