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• W3153626497 abstract "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." @default.
• W3153626497 created "2021-04-26" @default.
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• W3153626497 date "2021-04-09" @default.
• W3153626497 modified "2023-10-10" @default.
• W3153626497 title "Measurements and discrimination of drones and birds with a multi‐frequency multistatic radar system" @default.
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• W3153626497 doi "https://doi.org/10.1049/rsn2.12060" @default.
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