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Proceedings Paper

A new method for incoherent combining of far-field laser beams based on multiple faculae recognition
Author(s): Demao Ye; Sichao Li; Zhihui Yan; Zenan Zhang; Yuan Liu
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Paper Abstract

Compared to coherent beam combining, incoherent beam combining can complete the output of high power laser beam with high efficiency, simple structure, low cost and high thermal damage resistance, and it is easy to realize in engineering. Higher target power is achieved by incoherent beam combination which using technology of multi-channel optical path correction. However, each channel forms a spot in the far field respectively, which cannot form higher laser power density with low overlap ratio of faculae. In order to improve the combat effectiveness of the system, it is necessary to overlap different faculae that improve the target energy density. Hence, a novel method for incoherent combining of far-field laser beams is present. The method compromises piezoelectric ceramic technology and evaluation algorithm of faculae coincidence degree which based on high precision multi-channel optical path correction. The results show that the faculae recognition algorithm is low-latency(less than 10ms), which can meet the needs of practical engineering. Furthermore, the real time focusing ability of far field faculae is improved which was beneficial to the engineering of high-energy laser weapon or other laser jamming systems.

Paper Details

Date Published: 5 March 2018
PDF: 7 pages
Proc. SPIE 10710, Young Scientists Forum 2017, 1071034 (5 March 2018); doi: 10.1117/12.2316761
Show Author Affiliations
Demao Ye, 713th Research Institute of China Shipbuilding Industry Corp. (China)
Sichao Li, Navy Military Representative Office in Zhengzhou (China)
Zhihui Yan, 713th Research Institute of China Shipbuilding Industry Corp. (China)
Zenan Zhang, 713th Research Institute of China Shipbuilding Industry Corp. (China)
Yuan Liu, 713th Research Institute of China Shipbuilding Industry Corp. (China)


Published in SPIE Proceedings Vol. 10710:
Young Scientists Forum 2017
Songlin Zhuang; Junhao Chu; Jian-Wei Pan, Editor(s)

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