Open Access
ARTICLE
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:;XiaoyuLi. Email:
Journal of Quantum Computing 2021, 3(1), 35-43. https://doi.org/10.32604/jqc.2021.016634
Received 15 March 2021; Accepted 15 May 2021; Issue published 20 May 2021
Abstract
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.
Keywords
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.