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Full-waveform echo tomography radar target reconstruction modeling and simulation
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Paper Abstract

The reconstruction of laser reflection tomography target reconstruction is an important part of the laser reflection tomography radar target detection technology.But currently the acquisition of imaging data for laser reflection tomography mainly stays in the laboratory test acquisition phase, for the complete slave laser pulse. There are still gaps in the comprehensive simulation of the complete process of launch propagation, laser and target effects, acceptance of echo data, and target reconstruction. In this paper, based on the above problems, studying the problem of large computational complexity firstly when the sub-rays and the bins are successively intersected. Proposed a fast intersection algorithm based on the boundary of the laser beam, which improves the computational efficiency. Secondly, based on the spatio-temporal distribution characteristics of the lidar signal, the response function of the detection target to the signal is deduced, and the action process model of the two is established. Based on the above key technologies, a target reconstruction simulation system based on laser reflection tomography was constructed. Finally, according to the effect of different sampling intervals and different detection angles on the reconstructed image quality, a contrast simulation experiment was conducted. The image back-propagation algorithm was used to complete the reconstruction of the target 2D contour under different conditions.

Paper Details

Date Published: 12 December 2018
PDF: 7 pages
Proc. SPIE 10846, Optical Sensing and Imaging Technologies and Applications, 108460T (12 December 2018); doi: 10.1117/12.2503958
Show Author Affiliations
Biao Yang, National Univ. of Defense Technology (China)
Yihua Hu, National Univ. of Defense Technology (China)
Jinying Tang, National Univ. of Defense Technology (Chile)


Published in SPIE Proceedings Vol. 10846:
Optical Sensing and Imaging Technologies and Applications
Mircea Guina; Haimei Gong; Jin Lu; Dong Liu, Editor(s)

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