@Article{jqc.2021.016634,
AUTHOR = {Qinghai Li, Ziyi Zhao, Hao Wu, Xiaoyu Li, Qinsheng Zhu, Shan Yang},
TITLE = {Dynamic Target Detection and Tracking Based on Quantum Illumination  LIDAR},
JOURNAL = {Journal of Quantum Computing},
VOLUME = {3},
YEAR = {2021},
NUMBER = {1},
PAGES = {35--43},
URL = {http://www.techscience.com/jqc/v3n1/42590},
ISSN = {2579-0145},
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.},
DOI = {10.32604/jqc.2021.016634}
}