TY - JOUR T1 - Human micro-doppler detection and classification studies at Mersin University using real outdoor experiments via C-band FMCW radar AU - Tekir, Onur AU - Özdemir, Caner PY - 2024 DA - July Y2 - 2024 DO - 10.26833/ijeg.1380658 JF - International Journal of Engineering and Geosciences JO - IJEG PB - Murat YAKAR WT - DergiPark SN - 2548-0960 SP - 211 EP - 220 VL - 9 IS - 2 LA - en AB - In this work, a unique radar hardware is introduced for human-gait micro-Doppler studies. The developed radar sensor operates in C-band microwave frequencies. We share several outdoor experiments at Mersin University facilities to detect and characterize human walking and running movements. In these experiments, various walking and running movements were performed with different people. To examine the Doppler properties of human motion, raw data gathered is transformed onto 2D joint-time-frequency plane. The generation of micro-Doppler signatures in the transformed data is the first step in the extraction of features of the walking/running human motion. It is shown that the directions, durations, range distances as well as torso and limb velocities of walking and running human movements in each experiment are successfully obtained from these micro-Doppler signatures. KW - Micro-doppler radar KW - Radar imaging KW - Spectrogram KW - Human detection and classification CR - Ağca, M. (2020). PALS, ICESat/GLAS ve ICESat-2 lazer sistemleri ve kullanım alanları. Geomatik, 5(1), 27-35. https://doi.org/10.29128/geomatik.560344 CR - Navruz, M. (2017). Airborne LİDAR Ve Dted2 verilerinde yükseklik (H) karşılaştırması. Geomatik, 2(3), 112-117. https://doi.org/10.29128/geomatik.319270 CR - Sevgen, S. C., & Karsli, F. (2020). Automatic ground extraction for urban areas from airborne lidar data. 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