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Research on short pulse laser detection method for "cat's eye" target based on spectral features
Author(s): Cheng-hao Jiang; Jing-guo Zhu; Feng Li; Zhi Qiao; Yan Jiang; Tianpeng Xie; Kang Cao
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Paper Abstract

A long-distance, high-efficiency "cat’s-eye" target laser active detection method based on the characteristics of target echo spectral segments was proposed. Considering the target echo generation condition, multiple sets of different wavebands, high-frequency and short-pulse detection lasers are used to obtain the high-precision distance value of the detection target, and simultaneously record the echo intensity information of the detection signal for different spectral segments. Analyze the relationship between the target distance, the target feature, the probe band and the beam quality, correlate the distance with the spectrum information, calculate and identify whether the target is a "cat’s eye" target. In the experiment, 1064nm and 1550nm laser sources are used to detect and analyze different types of targets. The test results show that the detection method can quickly and effectively obtain the multi-spectral echo reflection characteristics of the target, and achieve the "Cat’s Eye" target detection in the kilometer range. Effectively reducing the number required for target identifies feature points, improves the recognition efficiency and accuracy, and reduces false alarms.

Paper Details

Date Published: 17 May 2019
PDF: 9 pages
Proc. SPIE 11170, 14th National Conference on Laser Technology and Optoelectronics (LTO 2019), 1117019 (17 May 2019); doi: 10.1117/12.2532987
Show Author Affiliations
Cheng-hao Jiang, Institute of Microelectronics (China)
Jing-guo Zhu, Institute of Microelectronics (China)
Feng Li, Institute of Microelectronics (China)
Zhi Qiao, Institute of Microelectronics (China)
Yan Jiang, Institute of Microelectronics (China)
Tianpeng Xie, Institute of Microelectronics (China)
Kang Cao, Institute of Microelectronics (China)


Published in SPIE Proceedings Vol. 11170:
14th National Conference on Laser Technology and Optoelectronics (LTO 2019)
Jianqiang Zhu; Weibiao Chen; Zhenxi Zhang; Minlin Zhong; Pu Wang; Jianrong Qiu, Editor(s)

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