Signal Sensing, Design and Delivery for Electronic Warfare

军事系统和武装力量对电磁频谱的依赖为电子战(EW)支持军事行动创造了脆弱性和机会。电子战致力于探测、识别、利用和对抗敌人的电子作战秩序，并呼吁开发创新的算法解决方案，用于在竞争激烈的电磁环境中提取和传递信号。传统上，信号传感/信息提取是与信号传输领域分开开发的。相比之下，这个由伦敦帝国理工学院和伦敦大学学院开展的富有远见的项目旨在利用财团在民用和国防应用的信号处理(稀疏、超分辨率和子空间方法、通信、雷达和机器学习)领域的互补专业知识，设计和开发新的创新解决方案，以便在竞争的电磁环境中统一处理信息提取和信号传输。为了以可信的方式将这一新颖的方法结合在一起，该项目分为两个主要工作包。第一个工作包将分析、分离和表征跨越时间、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，以便在拥挤的射频环境中进行传感和信号发送。将得到新的波形设计方法，用于使用基于扩展模糊函数的框架进行感知，使用网络范围的时间反转进行精确的时空能量传输，以及用于联合感测和信号发送。还将提请注意对硬件和非线性通道响应具有弹性的信号的设计。该项目将与学术界/研究机构(堪萨斯大学弗劳恩霍夫分校)以及民用和军用设备设计和制造行业的领先者(IBM、美国陆军研究实验室、泰利斯)合作实施。该项目需要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联盟进行，该联盟拥有理论和实践技能的适当组合。鉴于本课题的新颖性和原创性，研究成果将对改变电子战的未来具有相当大的价值，并使工业和国防对针对有争议的电磁环境的信号处理的发展有一个新的和及时的见解，提升英国在世界上的研究形象。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对抗措施的设计，并对国防部门和工业产生巨大影响。

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.