Publication
Disruptive Future of Radar Based on All-Digital PN Signal Processing
datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
datacite.subject.sdg | 04:Educação de Qualidade | |
datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
datacite.subject.sdg | 11:Cidades e Comunidades Sustentáveis | |
dc.contributor.author | Ribeiro, Carlos | |
dc.contributor.author | Ferreira Gil, João | |
dc.contributor.author | Caldeirinha, Rafael | |
dc.contributor.author | Reis, Joao R. | |
dc.contributor.author | Sardo, Andre | |
dc.contributor.author | Duarte, Luis | |
dc.contributor.author | Leonor, Nuno | |
dc.date.accessioned | 2025-05-26T11:08:32Z | |
dc.date.available | 2025-05-26T11:08:32Z | |
dc.date.issued | 2019-09 | |
dc.description | Conference on Antennas and Propagation in Wireless Communications, APWC 2019Granada9 September 2019through 13 September 2019Code 152967 | |
dc.description.abstract | This paper presents the first results on the design and implementation of a real-time and high resolution monostatic radar at 24 GHz, based on the sliding correlation of pseudonoise (PN) sequences. The real-time radar, with a high time resolution better than 4ns, is used for moving target identification (MTI) in the presence of highly dense clutter, under harsh environments and severe weather conditions (fog, snow and fire smoke or plume). A radar signal processing based on alldigital PN sequences is proposed, which represents a quantum leap in radar future front-end architecture. Results obtained in a controlled environment, inside an anechoic chamber, are presented and a benchmark with a commercially-of-the-shelf solution is presented. © 2019 IEEE. | por |
dc.description.sponsorship | This work is partially funded by Research and Technological Development Incentive Scheme CO-PROMOTION - Centro2020 - P2020 - European Regional Development Funds, under project RADAVANT - Radar for Detection and Avoidance in Unmanned Aerial Vehicles (PI nr. 033907). | |
dc.identifier.citation | R. F. S. Caldeirinha et al., "Disruptive Future of Radar Based on All-Digital PN Signal Processing," 2019 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC), Granada, Spain, 2019, pp. 385-389, doi: 10.1109/APWC.2019.8870463 | |
dc.identifier.doi | 10.1109/apwc.2019.8870463 | |
dc.identifier.isbn | 978-1-7281-0567-3 | |
dc.identifier.uri | http://hdl.handle.net/10400.8/12980 | |
dc.language.iso | eng | |
dc.peerreviewed | n/a | |
dc.publisher | IEEE | |
dc.relation | Centro2020 - P2020 - European Regional Development Funds | |
dc.relation.hasversion | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8870463 | |
dc.relation.ispartof | 2019 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC) | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | FMCW | |
dc.subject | FPGA | |
dc.subject | Tracking Radar | |
dc.subject | Orthogonal Frequency Division Multiplexing | |
dc.subject | Radar | |
dc.title | Disruptive Future of Radar Based on All-Digital PN Signal Processing | |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.endPage | 389 | |
oaire.citation.startPage | 385 | |
oaire.citation.title | IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC) | |
oaire.version | http://purl.org/coar/version/c_e19f295774971610 | |
person.familyName | Ribeiro | |
person.familyName | Ferreira Gil | |
person.familyName | Caldeirinha | |
person.givenName | Carlos | |
person.givenName | João | |
person.givenName | Rafael | |
person.identifier.ciencia-id | F01F-FDDA-5C66 | |
person.identifier.ciencia-id | 4D18-2B1E-0960 | |
person.identifier.orcid | 0000-0001-7484-6779 | |
person.identifier.orcid | 0000-0002-5554-5062 | |
person.identifier.orcid | 0000-0003-0297-7870 | |
person.identifier.rid | F-1499-2015 | |
person.identifier.scopus-author-id | 7801603527 | |
relation.isAuthorOfPublication | a388f639-664e-435c-8e1a-d6aee9213f70 | |
relation.isAuthorOfPublication | 9b957823-2656-41ca-9453-224698b78bbe | |
relation.isAuthorOfPublication | b04f8672-d7af-443e-9104-ae8698dcdc9d | |
relation.isAuthorOfPublication.latestForDiscovery | b04f8672-d7af-443e-9104-ae8698dcdc9d |
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