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Signal Sensing, Design and Delivery for Electronic Warfare

电子战信号传感、设计和传输

基本信息

批准号：
EP/S026657/1
负责人：
Bruno Clerckx
金额：
$ 66.35万
依托单位：
Imperial College London
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2019
资助国家：
英国
起止时间：
2019 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FS026657%2F1
关键词：
Signal Sensing Design Delivery Electronic

项目摘要

The reliance of military systems and armed forces on the EM spectrum creates vulnerabilities and opportunities for electronic warfare (EW) in support of military operations. EW is concerned with detecting, recognising then exploiting and countering the enemy's electronic order of battle, and calls for the development of innovative algorithmic solutions for information extraction and delivery of signals in contested electromagnetic environment. Traditionally, the subject of signal sensing/information extraction has been developed separately from the area of signal delivery.In contrast, this visionary project conducted at Imperial College London and University College London aims at leveraging the consortium complementary expertise in various areas of signal processing (sparsity, super-resolution and subspace methods, communications, radar, and machine learning) for civilian and defence applications to design and develop novel and innovative solutions for a cohesive treatment of information extraction and delivery of signals in contested electromagnetic environment. To put together this novel approach in a credible fashion, this project is organized in two major work packages. The first work package will analyze, separate and characterize signals across time, frequency, and space and extract useful information from those signals by developing and leveraging novel super-resolution, subspace and deep learning methods. The second work package will leverage progress made in the first work package and design signals and system responses for sensing and signaling in congested RF environments. Novel waveform design approaches will be derived for sensing using an extended ambiguity function-based framework, for precise spatiotemporal energy delivery using network-wide time-reversal and for joint sensing and signaling. Attention will also be drawn to the design of signals resilient to hardware and nonlinear channel responses. The project will be performed in partnership with academia/research institutes (University of Kansas, Fraunhofer) and industrial leaders in civilian and military equipment design and manufacturing (IBM, US Army Research Lab, Thales). The project demands a strong track record in a wide range of signal processing techniques and it is to be conducted by a unique research consortium with a right mix of theoretical and practical skills. With the above and given the novelty and originality of the topic, the research outcomes will be of considerable value to transform the future of electronic warfare and give the industry and defence a fresh and timely insight into the development of signal processing for contested electromagnetic environment, advancing UK's research profile in the world. Its success would radically change the design of electronic support measures, electronic coutermeasures and electronic counter-coutermeasures and have a tremendous impact on the defence sector and industry.

军事系统和武装部队对电磁频谱的依赖为支持军事行动的电子战（EW）创造了脆弱性和机会。电子战关注的是探测、识别、利用和反击敌人的电子作战秩序，并要求开发创新的算法解决方案，用于在有竞争的电磁环境中提取信息和传递信号。传统上，信号感测/信息提取的课题是与信号传输领域分开开发的。相比之下，在伦敦帝国理工学院和伦敦大学学院进行的这个富有远见的项目旨在利用该联盟在信号处理各个领域的互补专业知识（稀疏，超分辨率和子空间方法，通信，雷达，和机器学习），为民用和国防应用设计和开发新颖和创新的解决方案，在有争议的电磁环境中统一处理信息提取和信号传输。为了将这种新颖的方法以可信的方式组合在一起，该项目分为两个主要的工作包。第一个工作包将分析，分离和表征跨时间，频率和空间的信号，并通过开发和利用新的超分辨率，子空间和深度学习方法从这些信号中提取有用的信息。第二个工作包将利用第一个工作包中取得的进展，并设计信号和系统响应，用于在拥挤的RF环境中进行传感和信令。新的波形设计方法将被导出用于使用扩展的基于模糊函数的框架进行感测，用于使用网络范围的时间反转进行精确的时空能量传递以及用于联合感测和信令。注意力也将被吸引到硬件和非线性信道响应的信号弹性的设计。该项目将与学术界/研究机构（堪萨斯大学，弗劳恩霍夫）和民用和军用设备设计和制造行业的领导者（IBM，美国陆军研究实验室，泰雷兹）合作进行。该项目要求在广泛的信号处理技术方面有良好的记录，并将由一个独特的研究财团进行，该财团具有理论和实践技能的正确组合。鉴于上述情况以及该主题的新奇和独创性，研究成果将具有相当大的价值，以改变电子战的未来，并为工业和国防提供新的和及时的洞察力，以了解有争议的电磁环境中信号处理的发展，推进英国在世界上的研究概况。它的成功将从根本上改变电子支援措施、电子对抗措施和电子反对抗措施的设计，并对国防部门和工业产生巨大影响。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Energy Efficient Dual-Functional Radar-Communication: Rate-Splitting Multiple Access, Low-Resolution DACs, and RF Chain Selection

DOI：
10.1109/ojcoms.2022.3183950
发表时间：
2022-02
期刊：
IEEE Open Journal of the Communications Society
影响因子：
7.9
作者：
Onur Dizdar;Aryan Kaushik;B. Clerckx;C. Masouros
通讯作者：
Onur Dizdar;Aryan Kaushik;B. Clerckx;C. Masouros

Rate-Splitting Multiple Access for Joint Radar-Communications with Low-Resolution DACs

DOI：
10.1109/iccworkshops50388.2021.9473742
发表时间：
2021-04
期刊：
2021 IEEE International Conference on Communications Workshops (ICC Workshops)
影响因子：
0
作者：
Onur Dizdar;Aryan Kaushik;B. Clerckx;C. Masouros
通讯作者：
Onur Dizdar;Aryan Kaushik;B. Clerckx;C. Masouros

Rate-Splitting Multiple Access for Communications and Jamming in Multi-Antenna Multi-Carrier Cognitive Radio Systems