计算机科学
合成孔径雷达
雷达
遥感
无人机
雷达锁定
便携式雷达
雷达成像
三维雷达
实时计算
测距
能见度
火控雷达
收发机
连续波雷达
计算机视觉
地质学
电信
无线
地理
生物
气象学
遗传学
作者
Berk Omuz,Ömer Oğuzhan Başpınar,H. Işıl Bozma,Ahmet Öncü
标识
DOI:10.1080/01431161.2024.2311772
摘要
Radar technology is critical for subsurface sensing applications since it enables the extraction of surface information remotely without being affected by environmental factors such as illumination and weather conditions. Hence, their usage on drones has become extremely essential as these vehicles need to accumulate data while flying over different and possibly difficult-to-access terrains regardless of visibility conditions. A frequency-modulated continuous-wave (FMCW) single input multiple output (SIMO) radar system is developed to provide near real-time radar images onboard. The system is comprised of a transceiver module, specifically designed for synthetic aperture radar (SAR) applications, to produce images in real-time. GPU-based computation is utilized to optimize processing power, while enabling range profiles to be generated and SIMO SAR images to be created during flight. The system can be easily mounted on UAV or multirotor systems. The detection and ranging performance of the system are examined by performing several experiments at the campus. Objects up to 100 metres are successfully detected by the radar system. The system demonstrates excellent ability to generate 2D SIMO SAR images, effectively identifying building and guard-box exteriors that are consistent with images from Google Earth.
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