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Proceedings Paper

Analytical model of range-Doppler image of rough rotating cones
Author(s): Long-gang Luo; Zhen-sen Wu; Run-gui Liao
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Paper Abstract

The technique of laser range-Doppler image has get growing attentions from aerospace and national defense experts. Recently, in laser range-Doppler image system, laser scatter feature has been used for target ranging and orientation. Laser range-Doppler image can identify the moving components of the aeroplane, and detect the moving disk and sphere. Meanwhile, it is also widely used in detection of the moving gesture of the aerospace, discover of the target micro-motion and the measurement of the local fluid velocity. The laser range-Doppler image of target is the pulse laser scatter feature of the rotating target, which can reflect the shape, attitude and surface material of the target. For instance, detection of the flight gesture of target, identification of the warhead, the rotation of structures in a target, and the target torsional state. An analytical model of laser range-Doppler image of cones rotating around their axes is proposed in this paper. The analytical model can provide the effects of geometric parameters, the roughness of the surface, attitude and pulse duration on laser range-Doppler image. This analytical model can degenerate into the analytical model of Doppler spectra for plane waves. The influences of geometry parameters and attitude are analyzed numerically by using the analytical model. The results indicate that the laser range-Doppler image of cone can show the information about geometrical shape and attitude of target. Combining the theory and measurements, the analytical model can be used for identifying physical parameters and geometrical parameters of cone. This analytical solution may contribute to the laser Doppler velocimetry and ladar applications.

Paper Details

Date Published: 19 September 2013
PDF: 7 pages
Proc. SPIE 8905, International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications, 89051A (19 September 2013); doi: 10.1117/12.2033798
Show Author Affiliations
Long-gang Luo, Xidian Univ. (China)
Zhen-sen Wu, Xidian Univ. (China)
Run-gui Liao, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 8905:
International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications
Farzin Amzajerdian; Astrid Aksnes; Weibiao Chen; Chunqing Gao; Yongchao Zheng; Cheng Wang, Editor(s)

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