body: <record xmlns="http://www.openarchives.org/OAI/2.0/">
                          <header>
                              <identifier>oai:research.chalmers.se:508743</identifier>
                              <datestamp>2019-03-28T10:41:14Z</datestamp>
                              <setSpec>openaire</setSpec>
                          </header>
                          <metadata>
                              <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
                                  <dc:title>Improved Pedestrian Detection under Mutual Interference by FMCW Radar Communications</dc:title>
                                  <dc:identifier>https://research.chalmers.se/en/publication/20f03b98-7475-40da-bb3e-e530344be2c1</dc:identifier>
                                  <dc:date>2018</dc:date>
                                              <dc:creator>Aydogdu, Canan</dc:creator>
                                              <dc:creator>Garcia, Nil</dc:creator>
                                              <dc:creator>Wymeersch, Henk</dc:creator>
                                                  <dc:subject>Remote Sensing</dc:subject>
                                                  <dc:subject>Communication Systems</dc:subject>
                                                  <dc:subject>Electrical Engineering, Electronic Engineering, Information Engineering</dc:subject>
                                              <dc:subject>FMCW</dc:subject>
                                              <dc:subject>radar communication</dc:subject>
                                              <dc:subject>pedestrian</dc:subject>
                                              <dc:subject>interference</dc:subject>
                                          <dc:description>The widespread of automotive radars leads to increase of mutual interference, which in turn degrades road safety. The effect of mutual interference with a focus on detection of pedestrians is investigated. It is shown that detection of pedestrians degrades in the presence of mutual interference. A joint radar communication solution is proposed that increases pedestrian detection probability with negligible impact in the ranging error.</dc:description>
                                                                  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/745706//A High-Sensitive Green Localization System for High-Speed Self-Driving Vehicles (GREENLOC)/</dc:relation>
                                          <dc:type>info:eu-repo/semantics/article</dc:type>
                                          <dc:source>IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC</dc:source>
                                                      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:language>eng</dc:language>
                                  <dc:audience>Researchers</dc:audience>
                                  <dc:format>application/pdf</dc:format>
                              </oai_dc:dc>
                          </metadata>
                      </record>