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.
Subject
General Earth and Planetary Sciences
Cited by
3 articles.
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1. Experimental UAV detection using 4G-LTE-based passive Radar;2023 IEEE International Radar Conference (RADAR);2023-11-06
2. Impact of Uplink Traffic on 5G-Based Passive Radar;2023 Signal Processing Symposium (SPSympo);2023-09-26
3. 5G Network-Based Passive Radar for Drone Detection;2023 24th International Radar Symposium (IRS);2023-05-24