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

作者：Shuxiao Wu, Jianyong Hu, J. Ge, Yanshan Fan, Zhexin Li, Yang Liu, Kai Song, Jiazhao Tian, Zhixing Qiao, Guosheng Feng, Xilong Liang, Changgang Yang, Ruiyun Chen, Chengbing Qin, Guofeng Zhang, Liantuan Xiao, Suotang Jia · 发表于：Light Science & Applications · 年份：2025 · DOI：10.1038/s41377-025-01878-y · 被引用次数：9 · 研究领域：Advanced Optical Sensing Technologies、Random lasers and scattering media、Optical Coherence Tomography Applications

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.