期刊
IET RADAR SONAR AND NAVIGATION
卷 15, 期 8, 页码 841-852出版社
WILEY
DOI: 10.1049/rsn2.12060
关键词
-
资金
- Office of Naval Research Global (USA)
- Institution of Engineering and Technology
- FFI (Norway)
- SA National Defence Force
This article presents the results of measuring small UAVs' multistatic radar signatures at L- and X-bands using the NeXtRAD radar system. The study includes an empirical analysis with high classification accuracy in both range-time plots and binary drone versus non-drone separation using very simple features and classification algorithms.
This article presents the results of a series of measurements of multistatic radar signatures of small UAVs at L- and X-bands. The system employed was the multistatic multiband radar system, NeXtRAD, consisting of one monostatic transmitter-receiver and two bistatic receivers. NeXtRAD is capable of recording simultaneous bistatic and monostatic data with baselines and two-way bistatic range of the order of a few kilometres. The paper presents an empirical analysis with range-time plots and micro-Doppler signatures of UAVs and birds of opportunity recorded at several hundred metres of distance. A quantitative analysis of the overall signal-to-noise ratio is presented along with a comparison between the power of the signal scattered from the drone body and blades. A simple study with empirically obtained features and four supervised-learning classifiers for binary drone versus non-drone separation is also presented. The results are encouraging with classification accuracy consistently above 90% using very simple features and classification algorithms.
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