Rényi Entropy-Based Adaptive Integration Method for 5G-Based Passive Radar Drone Detection

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...

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Bibliographic Details
Published inRemote sensing (Basel, Switzerland) Vol. 14; no. 23; p. 6146
Main Authors Maksymiuk, Radosław, Abratkiewicz, Karol, Samczyński, Piotr, Płotka, Marek
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.12.2022
Subjects
5G mobile communication
Communications networks
Digital video
Digitization
Drones
Entropy
Experiments
False alarms
Parameter estimation
passive bistatic radar (PBR)
passive coherent location (PCL)
Radar
Radar detection
Radar equipment
Radar range
Radar resolution
Radar systems
Radios
Receivers & amplifiers
Resource allocation
Satellites
Simulation
Surveillance
Transmitters
UAV
Unmanned aerial vehicles
Velocity
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Summary: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.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14236146