PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Journal of Electromagnetic Engineering and Science10.26866/jees.2021.4.r.342021214270-281Efficient Classification of Birds and Drones Considering Real Observation Scenarios Using FMCW RadarSe-Won Yoon, Soo-Bum Kim, Joo-Ho Jung, Sang-Bin Cha, Young-Seok Baek, Bon-Tae Koo, In-Oh Choi, Sang-Hong Parkhttp://jees.kr/upload/pdf/jees-2021-4-r-34.pdf, http://jees.kr/journal/view.php?doi=10.26866/jees.2021.4.r.34, http://jees.kr/upload/pdf/jees-2021-4-r-34.pdf
2023 IEEE Radar Conference (RadarConf23)10.1109/radarconf2351548.2023.101497382023FMCW Radar Sensing for Indoor Drones Using Variational Auto-EncodersAli Safa, Tim Verbelen, Ozan Çatal, Toon Van de Maele, Matthias Hartmann, Bart Dhoedt, André Bourdouxhttp://xplorestaging.ieee.org/ielx7/10149457/10149458/10149738.pdf?arnumber=10149738
2023 24th International Radar Symposium (IRS)10.23919/irs57608.2023.101724022023Automatic Radar Target Classification A New Idea for Distinguishing Drones and Birds From the Invention to Serial ProductionFranz-Xaver Hofele, André Hanewinkelhttp://xplorestaging.ieee.org/ielx7/10172354/10172391/10172402.pdf?arnumber=10172402
Drones10.3390/drones702008620237286Detection of the Altitude and On-the-Ground Objects Using 77-GHz FMCW Radar Onboard Small DronesÖmer Oğuzhan Başpınar, Berk Omuz, Ahmet Öncühttps://www.mdpi.com/2504-446X/7/2/86/pdf
2020 IEEE Radar Conference (RadarConf20)10.1109/radarconf2043947.2020.92664772020Target Classification Using Combined YOLO-SVM in High-Resolution Automotive FMCW RadarWoosuk Kim, Hyunwoong Cho, Jongseok Kim, Byungkwan Kim, Seongwook Leehttp://xplorestaging.ieee.org/ielx7/9266310/9266311/09266477.pdf?arnumber=9266477
Sensors10.3390/s20226505202020226505Vital Sign Monitoring Using FMCW Radar in Various Sleeping ScenariosEmmi Turppa, Juha M. Kortelainen, Oleg Antropov, Tero Kiuruhttps://www.mdpi.com/1424-8220/20/22/6505/pdf
2021 21st International Radar Symposium (IRS)10.23919/irs51887.2021.94661952021Moving Target Classification with a Dual Automotive FMCW Radar System Using Convolutional Neural NetworksSteven Duong, Daniel Kahrizi, Sven Mettler, Clemens Klockhttp://xplorestaging.ieee.org/ielx7/9466145/9466146/09466195.pdf?arnumber=9466195
IET Radar, Sonar & Navigation10.1049/iet-rsn.2019.04932020145653-661Classification of drones and birds using convolutional neural networks applied to radar micro‐Doppler spectrogram imagesSamiur Rahman, Duncan A. Robertsonhttps://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rsn.2019.0493, https://onlinelibrary.wiley.com/doi/full-xml/10.1049/iet-rsn.2019.0493, https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rsn.2019.0493
2020 IEEE International Radar Conference (RADAR)10.1109/radar42522.2020.91148242020FMCW Radar Prototype Development for Detection and Classification of Nano-TargetsSafiah Zulkifli, Alessio Ballerihttp://xplorestaging.ieee.org/ielx7/9109357/9114538/09114824.pdf?arnumber=9114824
2021 29th Signal Processing and Communications Applications Conference (SIU)10.1109/siu53274.2021.94779272021LSTM Based Classification of Targets using FMCW Radar SignalsOytun Gunes, Omer Morgulhttp://xplorestaging.ieee.org/ielx7/9477764/9477696/09477927.pdf?arnumber=9477927