10-km passive drone detection using broadband quantum compressed sensing imaging
Abstract Remote passive drone detection in the presence of strong background noise is challenging, since they are point objects and cannot be recognized by their contour detection. In this study, we introduce a new passive single-photon dynamic imaging method using quantum compressed sensing. This m...
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| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2025-07-01
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| Series: | Light: Science & Applications |
| Online Access: | https://doi.org/10.1038/s41377-025-01878-y |
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| _version_ | 1849235707171700736 |
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| author | Shuxiao Wu Jianyong Hu Jiaqing Ge Yanshan Fan Zhexin Li Liu Yang Kai Song Jiazhao Tian Zhixing Qiao Guosheng Feng Xilong Liang Changgang Yang Ruiyun Chen Chengbing Qin Guofeng Zhang Liantuan Xiao Suotang Jia |
| author_facet | Shuxiao Wu Jianyong Hu Jiaqing Ge Yanshan Fan Zhexin Li Liu Yang Kai Song Jiazhao Tian Zhixing Qiao Guosheng Feng Xilong Liang Changgang Yang Ruiyun Chen Chengbing Qin Guofeng Zhang Liantuan Xiao Suotang Jia |
| author_sort | Shuxiao Wu |
| collection | DOAJ |
| description | Abstract Remote passive drone detection in the presence of strong background noise is challenging, since they are point objects and cannot be recognized by their contour detection. In this study, we introduce a new passive single-photon dynamic imaging method using quantum compressed sensing. This method utilizes the inherent randomness of photon radiation and detection to construct a compressive imaging system. It captures the broadband dynamic features of the point object through sparse photon detection, achieving a detectable bandwidth up to 2.05 GHz, which is significantly higher than current photon-counting imaging techniques. The method also shows excellent noise resistance, achieving high-quality imaging with a signal-to-background ratio of 1/332. This technique significantly enhances the use of single-photon imaging in real-world applications. |
| format | Article |
| id | doaj-art-b4fc5da630da4810b68258a8a2e22fdf |
| institution | Kabale University |
| issn | 2047-7538 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Light: Science & Applications |
| spelling | doaj-art-b4fc5da630da4810b68258a8a2e22fdf2025-08-20T04:02:41ZengNature Publishing GroupLight: Science & Applications2047-75382025-07-0114111210.1038/s41377-025-01878-y10-km passive drone detection using broadband quantum compressed sensing imagingShuxiao Wu0Jianyong Hu1Jiaqing Ge2Yanshan Fan3Zhexin Li4Liu Yang5Kai Song6Jiazhao Tian7Zhixing Qiao8Guosheng Feng9Xilong Liang10Changgang Yang11Ruiyun Chen12Chengbing Qin13Guofeng Zhang14Liantuan Xiao15Suotang Jia16State Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi UniversityState Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi UniversityState Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi UniversityState Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi UniversityState Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi UniversityState Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi UniversityCollege of Physics, Taiyuan University of TechnologyCollege of Physics, Taiyuan University of TechnologyCollege of Medical Imaging, Shanxi Medical UniversityCollege of Medical Imaging, Shanxi Medical UniversityDepartment of Materials and Chemical Engineering, Taiyuan UniversityState Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi UniversityState Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi UniversityState Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi UniversityState Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi UniversityState Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi UniversityState Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi UniversityAbstract Remote passive drone detection in the presence of strong background noise is challenging, since they are point objects and cannot be recognized by their contour detection. In this study, we introduce a new passive single-photon dynamic imaging method using quantum compressed sensing. This method utilizes the inherent randomness of photon radiation and detection to construct a compressive imaging system. It captures the broadband dynamic features of the point object through sparse photon detection, achieving a detectable bandwidth up to 2.05 GHz, which is significantly higher than current photon-counting imaging techniques. The method also shows excellent noise resistance, achieving high-quality imaging with a signal-to-background ratio of 1/332. This technique significantly enhances the use of single-photon imaging in real-world applications.https://doi.org/10.1038/s41377-025-01878-y |
| spellingShingle | Shuxiao Wu Jianyong Hu Jiaqing Ge Yanshan Fan Zhexin Li Liu Yang Kai Song Jiazhao Tian Zhixing Qiao Guosheng Feng Xilong Liang Changgang Yang Ruiyun Chen Chengbing Qin Guofeng Zhang Liantuan Xiao Suotang Jia 10-km passive drone detection using broadband quantum compressed sensing imaging Light: Science & Applications |
| title | 10-km passive drone detection using broadband quantum compressed sensing imaging |
| title_full | 10-km passive drone detection using broadband quantum compressed sensing imaging |
| title_fullStr | 10-km passive drone detection using broadband quantum compressed sensing imaging |
| title_full_unstemmed | 10-km passive drone detection using broadband quantum compressed sensing imaging |
| title_short | 10-km passive drone detection using broadband quantum compressed sensing imaging |
| title_sort | 10 km passive drone detection using broadband quantum compressed sensing imaging |
| url | https://doi.org/10.1038/s41377-025-01878-y |
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