Objective Frequency spectrum has nowadays become one of the most valuable assets, as the wireless communications devices and services are growing explosively. Realising the scarcity of the spectrum, future wireless systems are exploring the feasibility to use the spectrum that is currently occupied by radar systems, such as 3.4GHz and 5.6GHz bands used by airborne and shipborne radars. With the allocation of available spectrum to newer communication technologies, the interference in radar bands is on the rise consequently. Therefore, effective interference management approaches are needed for achieving the spectral coexistence between the current radar and communication services. More fundamentally, dual-functional systems that can simultaneously perform remote sensing and transmit useful information via classical communications could be an essential solution in the future, which not only ensures the spectral coexistence but also the improvement for both radar and communication’s performance. The goal of ComRad is to develop novel signal processing techniques for transmit and receive beamforming, waveform design, signal classification/recognition, and channel estimation, to enable the exploitation of radar spectrum for communication applications, with particular focus on 1) coexisting communication and radar systems (C-ComRad), and 2) Dual-functional Communication-Radar Systems (D-ComRad). The main research approaches that will be employed include the cutting-age concepts of interference exploitation, manifold based optimization and machine learning. The research outputs will have a significant impact on the applicant’s career prospects enabling him to obtain a leadership position in academia or industry. More importantly, it will also contribute to the efficient usage of the spectrum, which is closely related to the economic future of the European Union (EU), especially the digital communication for essential public services such as defense, police and emergency services. Fields of science social sciencessociologygovernancepublic servicesengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processingengineering and technologyenvironmental engineeringremote sensingengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradarnatural sciencescomputer and information sciencesartificial intelligencemachine learning Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2017 - Individual Fellowships Call for proposal H2020-MSCA-IF-2017 See other projects for this call Funding Scheme MSCA-IF-EF-ST - Standard EF Coordinator UNIVERSITY COLLEGE LONDON Net EU contribution € 183 454,80 Address Gower street WC1E 6BT London United Kingdom See on map Region London Inner London — West Camden and City of London Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
