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...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.展开更多
基金supported by Shanxi Province Science and Technology Major Special Project(202201010101005)the Natural Science Foundation of China(U22A2091,62105193,62127817,62075120,62075122,62222509,62205187,6191101445 and 62305200)+4 种基金China Postdoctoral Science Foundation(2022M722006)National Key Research and Development Program of China(2022YFA1404201)Shanxi Province Science and Technology Innovation Talent Team(No.202204051001014)Science and Technology Cooperation Project of Shanxi Province(202104041101021)Shanxi“1331 Project”,111 projects(D18001).
文摘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.
