期刊
IET RADAR SONAR AND NAVIGATION
卷 13, 期 9, 页码 1437-1447出版社
WILEY
DOI: 10.1049/iet-rsn.2018.5646
关键词
radar signal processing; CW radar; radar detection; radar clutter; FM radar; radar cross-sections; radar tracking; array signal processing; Global Positioning System; statistical analysis; software blocks; off-line signal processing; data processing; drone detection test; RAD-DAR staring nature; drone global positioning system data; statistical radar cross-section study; radar-cross-section measurements; digital array reception technology; frequency-modulated-continuous-wave radar demonstrator; ubiquitous-radar concept; hardware blocks; DJI-Phantom 4 tracking; DJI-Phantom 4 detection; Swerling models; size 3; 0 km
资金
- Spanish Ministry of Science, Innovation and Universities (CIENCIA/AEI/FEDER, UE) [TEC2014-53815-R, TEC2017-87061-C3-1-R]
RAD-DAR is a frequency-modulated-continuous-wave radar demonstrator, working at X-band, completely designed and constructed by the authors' research group following the ubiquitous-radar concept. After introducing its main hardware and software blocks, with special emphasis to its off-line signal processing and data processing, this study presents the results of a drone detection test, where RAD-DAR achieved a DJI-Phantom 4 detection and tracking at a range up to 3 km. The system performance is discussed with different flights including an attack manoeuvre, and a free flight, which helps to highlight their advantages in surveillance tasks due to the RAD-DAR staring nature. Furthermore, range, speed and azimuth accuracies are discussed, considering the drone global positioning system data. Finally, this study shows a statistical radar cross-section study based on the processed data of the drone and attempts to classify this target by means of Swerling models.
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