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Dynamic Target Detection and Tracking Based on Quantum Illumination LIDAR

Qinghai Li1, Ziyi Zhao2, Hao Wu1,*, Xiaoyu Li3,*, Qinsheng Zhu1, Shan Yang4

1 School of Physics, University of Electric Science and Technology of China, Chengdu, China
2 Glasgow College, University of Electric Science and Technology of China, Chengdu, China
3 School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China
4 Department of Chemistry, Physics and Atmospheric Sciences, Jackson State University, Jackson, USA

* Corresponding Authors: Hao Wu. Email:email;XiaoyuLi. Email: email

Journal of Quantum Computing 2021, 3(1), 35-43.


In the detection process of classic radars such as radar/lidar, the detection performance will be weakened due to the presence of background noise and loss. The quantum illumination protocol can use the spatial correlation between photon pairs to improve image quality and enhance radar detection performance, even in the presence of loss and noise. Based on this quantum illumination LIDAR, a theoretic scheme is developed for the detection and tracking of moving targets, and the trajectory of the object is analyzed. Illuminated by the quantum light source as Spontaneous Parametric Down-Conversion (SPDC), an opaque target can be identified from the background in the presence of strong noise. The static objects obtained by classical and quantum illumination are compared, respectively, and the advantages of quantum illumination are verified. The moving objects are taken at appropriate intervals to obtain the images of the moving objects, then the images are visualized as dynamic images, and the three-frame difference method is used to obtain the target contour. Finally, the image is performed by a series of processing on to obtain the trajectory of the target object. Several different motion situations are analyzed separately, and compared with the set object motion trajectory, which proves the effectiveness of the scheme. This scheme has potential practical application value.


Cite This Article

Q. Li, Z. Zhao, H. Wu, X. Li, Q. Zhu et al., "Dynamic target detection and tracking based on quantum illumination lidar," Journal of Quantum Computing, vol. 3, no.1, pp. 35–43, 2021.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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