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19 results
  • Articles USRP based cognitive radar testbed

    Christiansen, Jonas Myhre, Smith, Graeme E., Olsen, Karl Erik

    Christiansen, Jonas Myhre; Smith, Graeme E.; Olsen, Karl Erik. USRP based cognitive radar testbed. IEEE Radar Conference. Proceedings 2017 s. 1115-1118

  • Articles DSI Suppression with Adaptive Beamforming in DVB-T Passive Radar Measurements

    Strøm, Kyrre, Lie-Svendsen, Øystein, Norheim-Næss, Idar, Johnsen, Terje, Finden, Erlend, Olsen, Karl Erik

    Strøm, Kyrre; Lie-Svendsen, Øystein; Norheim-Næss, Idar; Johnsen, Terje; Finden, Erlend; Olsen, Karl Erik. DSI Suppression with Adaptive Beamforming in DVB-T Passive Radar Measurements. Proceedings International Radar Symposium 2018 ;Volum ISBN: 978-3-7369-9545-1. s. -

  • Articles Fully adaptive radar for track update-interval control

    Christiansen, Jonas Myhre, Olsen, Karl Erik, Smith, Graeme E.

    Christiansen, Jonas Myhre; Olsen, Karl Erik; Smith, Graeme E.. Fully adaptive radar for track update-interval control. IEEE Radar Conference. Proceedings 2018

  • Articles The WISDOM Radar: Unveiling the Subsurface Beneath the ExoMars Rover and Identifying the Best Locations for Drilling

    Ciarletti, Valérie, Clifford, Stephen, Plettemeier, Dirk, Le Gall, Alice, Herve, Yann, Dorizon, Sophie, Quantin-Nataf, Cathy, Benedix, Wolf-Stefan, Schwenzer, Susanne, Pettinelli, Elena, Heggy, Essam, Herique, Alain, Berthelier, Jean-Jacques, Kofman, Wlodek, Vago, Jorge L., Hamran, Svein-Erik

    Ciarletti, Valérie; Clifford, Stephen; Plettemeier, Dirk; Le Gall, Alice; Herve, Yann; Dorizon, Sophie; Quantin-Nataf, Cathy; Benedix, Wolf-Stefan; Schwenzer, Susanne; Pettinelli, Elena; Heggy, Essam; Herique, Alain; Berthelier, Jean-Jacques; Kofman, Wlodek; Vago, Jorge L.; Hamran, Svein-Erik. The WISDOM Radar: Unveiling the Subsurface Beneath the ExoMars Rover and Identifying the Best Locations for Drilling. Astrobiology 2017 ;Volum 17.(6-7) s. 565-584

  • Articles Use of n-vector for radar applications

    Ødegaard, Nina, Gade, Kenneth

    Ødegaard, Nina; Gade, Kenneth. Use of n-vector for radar applications. Proceedings International Radar Symposium 2018 ;Volum 2018-June. s. 1-9

  • Articles Physical Working Principles of Medical Radar

    Aardal, Øyvind, Paichard, Yoann, Brovoll, Sverre, Berger, Tor, Lande, Tor Sverre, Hamran, Svein-Erik

    Aardal, Øyvind; Paichard, Yoann; Brovoll, Sverre; Berger, Tor; Lande, Tor Sverre; Hamran, Svein-Erik. Physical Working Principles of Medical Radar. IEEE Transactions on Biomedical Engineering 2013 ;Volum 60.(4) s. 1142-1149

  • Articles Bitstream radar waveforms for generic single-chip radar

    Bjørndal, Øystein, Hamran, Svein-Erik, Lande, Tor Sverre

    Bjørndal, Øystein; Hamran, Svein-Erik; Lande, Tor Sverre. Bitstream radar waveforms for generic single-chip radar. International Journal of Microwave and Wireless Technologies (IJMWT) 2017 ;Volum 9.(6) s. 1325-1337

  • Articles Radar imager for Mars’ subsurface experiment—RIMFAX

    Hamran, Svein-Erik, Paige, David A., Amundsen, Hans E. Foss, Berger, Tor, Brovoll, Sverre, Carter, Lynn, Hanssen, Leif, Dypvik, Henning, Eide, Jo, Eide, Sigurd, Ghent, Rebecca, Helleren, Øystein, Kohler, Jack, Mellon, Mike, Nunes, Daniel C., Plettemeier, Dirk, Rowe, Kathryn, Russell, Patrick, Øyan, Mats Jørgen

    Hamran, Svein-Erik; Paige, David A.; Amundsen, Hans E. Foss; Berger, Tor; Brovoll, Sverre; Carter, Lynn; Hanssen, Leif; Dypvik, Henning; Eide, Jo; Eide, Sigurd; Ghent, Rebecca; Helleren, Øystein; Kohler, Jack; Mellon, Mike; Nunes, Daniel C.; Plettemeier, Dirk; Rowe, Kathryn; Russell, Patrick; Øyan, Mats Jørgen. Radar imager for Mars’ subsurface experiment—RIMFAX. Space Science Reviews 2020 ;Volum 216.(8) s.

  • Articles Imaging radar for navigation and surveillance on an autonomous unmanned ground vehicle capable of detecting obstacles obscured by vegetation

    Gusland, Daniel, Torvik, Børge, Finden, Erlend, Gulbrandsen, Fredrik, Smestad, Ragnar

    Gusland, Daniel; Torvik, Børge; Finden, Erlend; Gulbrandsen, Fredrik; Smestad, Ragnar. Imaging radar for navigation and surveillance on an autonomous unmanned ground vehicle capable of detecting obstacles obscured by vegetation. IEEE International Conference on Radar 2019