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Signal Sensing, Design and Delivery for Electronic Warfare

Signal Sensing, Design and Delivery for Electronic Warfare
电子战信号传感、设计和传输
批准号:
EP/S026657/1
负责人:
Bruno Clerckx
金额:
$66.35万
依托单位:
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
项目状态:
已结题
起止时间:
2019 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
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.
期刊论文(10)
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科研奖励(0)
会议论文
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
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: --
作者: [Onur Dizdar;Aryan Kaushik;B. Clerckx;C. Masouros]
通讯作者: Onur Dizdar;Aryan Kaushik;B. Clerckx;C. Masouros
DOI: 10.1109/tifs.2022.3149145
发表时间: 2021-07
期刊: IEEE Transactions on Information Forensics and Security
影响因子: 6.8
作者: [Onur Dizdar;B. Clerckx]
通讯作者: Onur Dizdar;B. Clerckx
DOI: 10.1109/sspd51364.2021.9541482
发表时间: 2021-01
期刊: 2021 Sensor Signal Processing for Defence Conference (SSPD)
影响因子: --
作者: [Onur Dizdar;B. Clerckx]
通讯作者: Onur Dizdar;B. Clerckx
Reconfigurable Intelligent Surfaces 2.0 for 6G: Beyond Diagonal Phase Shift Matrices
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  • 资助金额:
    $113.55万
  • 财政年份:
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  • 依托单位:
国内基金
海外基金
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