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- W2888255655 abstract "We present an approach to detect and locate non-cooperative UAVs from their micro-Doppler signature using a narrowband radar in a multi-site configuration. We describe a method for the localization of rotating objects with the geometric information obtained exclusively from their micro-Doppler signatures. This approach only requires very simple transceivers with CW waveforms, in a cost-effective multi-site architecture. A convolutional neural network is used to detect and identify the UAVs by extracting the characteristic features of their micro-Doppler signature. We present simulated and preliminary experimental data that show the technical viability of this concept." @default.
- W2888255655 created "2018-08-31" @default.
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- W2888255655 date "2018-04-01" @default.
- W2888255655 modified "2023-09-26" @default.
- W2888255655 title "Convolutional Neural Network Assisted Detection and Localization of UAVs with a Narrowband Multi-site Radar" @default.
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- W2888255655 doi "https://doi.org/10.1109/icmim.2018.8443549" @default.
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