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Proceedings Paper

Probability of acquisition of three-dimensional imaging laser radar
Author(s): Li-jun Dong; Shao-lan Zhu; Chuan-dong Sun; Cun-xiao Gao; Zhi-yuan Song
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Paper Abstract

Three-dimensional imaging laser radar (3-D ladar) is widely used in area of modern military, scientific research, agriculture and industry. Because of its many features such as angle-angle-range capturing, high resolution, anti-jamming ability and no multipath effect ,but it has to scan for target searching, acquiring and tracking. This paper presents a novel probability model of target acquiring which provides a theoretical basis for optimizing the scanning mechanism. The model combines space and time, target moving velocity and ladar scanning velocity together. Then the optimum scanning mechanism to obtain the maximum probability of acquisition and associated with different targets can be gained. The result shows that this model provides a method to optimize parameter for designing of the scanner.

Paper Details

Date Published: 22 August 2011
PDF: 6 pages
Proc. SPIE 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, 81924A (22 August 2011); doi: 10.1117/12.901932
Show Author Affiliations
Li-jun Dong, Xi'an Institute of Optics and Precision Mechanics (China)
Graduate Univ. the Chinese Academy of Sciences (China)
Shao-lan Zhu, Xi'an Institute of Optics and Precision Mechanics (China)
Chuan-dong Sun, Xi'an Institute of Optics and Precision Mechanics (China)
Cun-xiao Gao, Xi'an Institute of Optics and Precision Mechanics (China)
Zhi-yuan Song, Xi'an Institute of Optics and Precision Mechanics (China)
Graduate Univ. the Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 8192:
International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging
Farzin Amzajerdian; Weibiao Chen; Chunqing Gao; Tianyu Xie, Editor(s)

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