Multi-Frequency Radar Micro-Doppler Based Classification of Micro-Drone Payload Weight
نویسندگان
چکیده
The use of drones for recreational, commercial and military purposes has seen a rapid increase in recent years. ability counter-drone detection systems to sense whether drone is carrying payload strategic importance as this can help determine the potential threat level posed by detected drone. This paper presents micro-Doppler signatures collected using radar operating at three different frequency bands classification carried two micro-drones performing motions. Use KNN classifier with six features extracted from enabled mean accuracies 80.95, 72.50 86.05%, data S-band, C-band W-band, respectively, when type motion are unknown. impact on performance amounts situational information also evaluated paper.
منابع مشابه
Design of Multiple Frequency Continuous Wave Radar Hardware and Micro-Doppler Based Detection and Classification Algorithms
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ژورنال
عنوان ژورنال: Frontiers in signal processing
سال: 2021
ISSN: ['2521-7372', '2521-7380']
DOI: https://doi.org/10.3389/frsip.2021.781777