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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/23/6146 |
| _version_ | 1797462168875040768 |
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| author | Radosław Maksymiuk Karol Abratkiewicz Piotr Samczyński Marek Płotka |
| author_facet | Radosław Maksymiuk Karol Abratkiewicz Piotr Samczyński Marek Płotka |
| author_sort | Radosław Maksymiuk |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T17:32:40Z |
| format | Article |
| id | doaj.art-3c67530b41544b5180ca1aa0c26b36d1 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T17:32:40Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-3c67530b41544b5180ca1aa0c26b36d12023-11-24T12:06:36ZengMDPI AGRemote Sensing2072-42922022-12-011423614610.3390/rs14236146Rényi Entropy-Based Adaptive Integration Method for 5G-Based Passive Radar Drone DetectionRadosław Maksymiuk0Karol Abratkiewicz1Piotr Samczyński2Marek Płotka3Institute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-665 Warsaw, PolandInstitute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-665 Warsaw, PolandInstitute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-665 Warsaw, PolandInstitute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-665 Warsaw, PolandThis 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.https://www.mdpi.com/2072-4292/14/23/6146passive bistatic radar (PBR)5Gpassive coherent location (PCL)entropyUAV |
| spellingShingle | Radosław Maksymiuk Karol Abratkiewicz Piotr Samczyński Marek Płotka Rényi Entropy-Based Adaptive Integration Method for 5G-Based Passive Radar Drone Detection Remote Sensing passive bistatic radar (PBR) 5G passive coherent location (PCL) entropy UAV |
| title | Rényi Entropy-Based Adaptive Integration Method for 5G-Based Passive Radar Drone Detection |
| title_full | Rényi Entropy-Based Adaptive Integration Method for 5G-Based Passive Radar Drone Detection |
| title_fullStr | Rényi Entropy-Based Adaptive Integration Method for 5G-Based Passive Radar Drone Detection |
| title_full_unstemmed | Rényi Entropy-Based Adaptive Integration Method for 5G-Based Passive Radar Drone Detection |
| title_short | Rényi Entropy-Based Adaptive Integration Method for 5G-Based Passive Radar Drone Detection |
| title_sort | renyi entropy based adaptive integration method for 5g based passive radar drone detection |
| topic | passive bistatic radar (PBR) 5G passive coherent location (PCL) entropy UAV |
| url | https://www.mdpi.com/2072-4292/14/23/6146 |
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