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- W4311529648 abstract "This paper presents the first successful drone detection results using a 5G network as a source of illumination in a passive radar system. Furthermore, a novel adaptive strategy for signal integration is shown. The proposed approach is based on the Rényi entropy. It allows one to select time frames with a densely allocated downlink channel both in the time and frequency domains. The resource allocation is strongly related to a network load and has a crucial influence on 5G-based passive radar range resolution and detection capabilities. The proposed technique was validated using simulated and real-life signals, confirming the possibility of detecting unmanned aerial vehicles (UAVs) in 5G-network-based passive radars. Moreover, the proposed methodology can be directly used in passive radar systems where the illuminating signal duration and bandwidth are content-dependent, and the radar resolution may vary significantly." @default.
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- W4311529648 date "2022-12-04" @default.
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- W4311529648 title "Rényi Entropy-Based Adaptive Integration Method for 5G-Based Passive Radar Drone Detection" @default.
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- W4311529648 doi "https://doi.org/10.3390/rs14236146" @default.
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