10-km passive drone detection using broadband quantum compressed sensing imaging

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

doi:10.1038/s41377-025-01878-y

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10-km passive drone detection using broadband quantum compressed sensing imaging

Original Articles

- 10-km passive drone detection using broadband quantum compressed sensing imaging
- Light: Science & Applications Vol. 14, Issue 9, Pages: 2583-2594(2025)
- Affiliations：
  
  1.State Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi University, Taiyuan 030006, China
  2.Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan 030006, China
  3.College of Physics, Taiyuan University of Technology, Taiyuan 030600, China
  4.College of Medical Imaging, Shanxi Medical University, Taiyuan 030001, China
  5.Department of Materials and Chemical Engineering, Taiyuan University, Taiyuan, China
- Author bio：
  
  Jianyong Hu (jyhu@sxu.edu.cn)
  Liantuan Xiao (xlt@sxu.edu.cn)
- Funds：
- DOI：10.1038/s41377-025-01878-y
  CLC：
- Received：18 September 2024，
  
  Revised：2025-04-16，
  
  Accepted：26 April 2025，
  
  Published Online：14 July 2025，
  
  Published：30 September 2025
- Accepted：
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Wu, S. X. et al. 10-km passive drone detection using broadband quantum compressed sensing imaging. Light: Science & Applications, 14, 2583-2594 (2025).
DOI：

Wu, S. X. et al. 10-km passive drone detection using broadband quantum compressed sensing imaging. Light: Science & Applications, 14, 2583-2594 (2025). DOI： 10.1038/s41377-025-01878-y.

摘要

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.

关键词

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