body: <record xmlns="http://www.openarchives.org/OAI/2.0/">
                          <header>
                              <identifier>oai:research.chalmers.se:501424</identifier>
                              <datestamp>2018-10-17T08:36:27Z</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>Position and Orientation Estimation through Millimeter Wave MIMO in 5G Systems</dc:title>
                                  <dc:identifier>https://research.chalmers.se/en/publication/9d468df9-f40b-4516-801c-34968b8c3118</dc:identifier>
                                  <dc:date>2018</dc:date>
                                              <dc:creator>Shahmansoori, Arash</dc:creator>
                                              <dc:creator>Garcia, Gabriel</dc:creator>
                                              <dc:creator>Destino, Giuseppe</dc:creator>
                                              <dc:creator>Seco-Granados, Gonzalo</dc:creator>
                                              <dc:creator>Wymeersch, Henk</dc:creator>
                                                  <dc:subject>Telecommunications</dc:subject>
                                                  <dc:subject>Communication Systems</dc:subject>
                                                  <dc:subject>Signal Processing</dc:subject>
                                          <dc:description>Millimeter wave signals and large antenna arrays are considered enabling technologies for future 5G networks. While their benefits for achieving high-data rate communications are well-known, their potential advantages for accurate positioning are largely undiscovered. We derive the Cramér-Rao bound (CRB) on position and rotation angle estimation uncertainty from millimeter wave signals from a single transmitter, in the presence of scatterers. We also present a novel two-stage algorithm for position and rotation angle estimation that attains the CRB foraverage to high signal-to-noise ratio. The algorithm is based on multiple measurement vectors matching pursuit for coarse estimation, followed by a refinement stage based on the space-alternating generalized expectation maximization algorithm. We find that accurate position and rotation angle estimation is possible using signals from a single transmitter, in either line-of-sight, non-line-of-sight, or obstructed-line-of-sight conditions.</dc:description>
                                                                  <dc:relation>info:eu-repo/grantAgreement/EC/FP7/316528//Multi-technology positioning professionals (MULTI-POS)/</dc:relation>
                                                                  <dc:relation>info:eu-repo/grantAgreement/636537-HIGHTS-RIA//High precision positioning for cooperative ITS applications/</dc:relation>
                                                  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1109/TWC.2017.2785788</dc:relation>
                                          <dc:type>info:eu-repo/semantics/article</dc:type>
                                          <dc:source>IEEE Transactions on Wireless Communications (1536-1276)</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>