Improvement of chirped pulse contrast using electro-optic birefringence scanning filter method

Zeng Shuguang; Wang Xianglin; Zhang Bin; Wang Yishan; Sun Nianchun; Wang Fei

doi:10.3788/HPLPB20132501.0047

Volume 25 Issue 01

Dec. 2012

Turn off MathJax

Article Contents

Abstract

References

Article Navigation > High Power Laser and Particle Beams > 2013 > 25(01): 47-51

Jing Liang, Peng Zhenming, He Yanmin, et al. Infrared dim target detection based on anisotropic SUSAN filtering[J]. High Power Laser and Particle Beams, 2013, 25: 2208-2212. doi: 10.3788/HPLPB20132509.2208

Citation:

Zeng Shuguang, Wang Xianglin, Zhang Bin, et al. Improvement of chirped pulse contrast using electro-optic birefringence scanning filter method[J]. High Power Laser and Particle Beams, 2013, 25: 47-51. doi: 10.3788/HPLPB20132501.0047

Citation:

PDF( 1368 KB)

Improvement of chirped pulse contrast using electro-optic birefringence scanning filter method

doi: 10.3788/HPLPB20132501.0047

1.
Research Institute for New Energy,College of Science,China Three Gorges University,Yichang 443002,China;
2.
College of Electronics and Information Engineering,Sichuan University,Chengdu 610064,China;
3.
Xi’an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi’an 710119,China

Received Date: 2012-01-05
Rev Recd Date: 2012-07-11
Publish Date: 2013-01-15

Abstract

Abstract

A method using scanning filter to improve the contrast of chirped pulse is proposed, and the principle of this method is analyzed. The scanning filter is compared with the existing pulse-picking technique and nonlinear filtering technique. The scanning filter is a temporal gate that is independent on the intensity of the pulses, but on the instantaneous wavelengths of light. Taking the electro-optic birefringence scanning filter as an example, the application of scanning filter methods is illustrated. Based on numerical simulation and experimental research, it is found that the electro-optic birefringence scanning filter can eliminate a prepulse which is several hundred picoseconds before the main pulse, and the main pulse can maintain a high transmissivity.
- scanning filter,
- contrast,
- chirped pulses,
- prepulse,
- electro-optic effect

FullText(HTML)

References(0)

References

Relative Articles

[1]	Qian Kun, Wang Jiushan, Zhang Shoujin, Shen Jianlu. Infrared dim small target tracking based on side window filtering and spatial-temporal regularized correlation filters[J]. High Power Laser and Particle Beams, 2023, 35(9): 099002. doi: 10.11884/HPLPB202335.230080
[2]	Qian Kun, Yang Junyan, Yu Yue, Zhao Dong, Rong Shenghui. Infrared target tracking based on selective convolution features[J]. High Power Laser and Particle Beams, 2019, 31(9): 093202. doi: 10.11884/HPLPB201931.190133
[3]	Wu Zigang, Peng Zhenming, Zhang Ping. Infrared dim target detection against strong clutter background[J]. High Power Laser and Particle Beams, 2015, 27(04): 041004. doi: 10.11884/HPLPB201527.041004
[4]	You Anqing, Wang Lei, Zhang Rong, Song Haifeng. Detecting approximately-circular object in image[J]. High Power Laser and Particle Beams, 2015, 27(12): 121004. doi: 10.11884/HPLPB201527.121004
[5]	Qu Shiru, Yang Honghong. Infrared image segmentation based on PCNN with genetic algorithm parameter optimization[J]. High Power Laser and Particle Beams, 2015, 27(05): 051007. doi: 10.11884/HPLPB201527.051007
[6]	Ling Qiang, Huang Shucai, Wu Xiao, Zhong Yu. Infrared small target detection based on kernel anisotropic diffusion[J]. High Power Laser and Particle Beams, 2015, 27(01): 011014. doi: 10.11884/HPLPB201527.011014
[7]	Wang Xiaoyang, Peng Zhenming, Zhang Ping, Meng Yeming. Infrared small dim target detection based on local contrast combined with region saliency[J]. High Power Laser and Particle Beams, 2015, 27(09): 091005. doi: 10.11884/HPLPB201527.091005
[8]	He Ming, Wang Yadi, Wang Xinsai, Lu Jianfang, Zhang Yi, Li Zhijun. Adaptive bilocal enhancement algorithm for infrared image with extreme temperature difference[J]. High Power Laser and Particle Beams, 2014, 26(08): 081006. doi: 10.11884/HPLPB201426.081006
[9]	Bai Honggang, Zhang Jianqi, Wang Xiaorui. Infrared complex background clutter suppression algorithm based on wave atom transform[J]. High Power Laser and Particle Beams, 2013, 25(01): 37-41. doi: 10.3788/HPLPB20132501.0037
[10]	Ma Ke, Peng Zhenming, He Yanmin, Gao Yuan, Zhang Ping. An improved method for dim infrared target detection with nonsubsampled Contourlet transform[J]. High Power Laser and Particle Beams, 2013, 25(11): 2811-2815. doi: 10.3788/HPLPB20132511.2811
[11]	Zhang Qiang, Cai Jingju, Zhang Qiheng. Anisotropic infrared background prediction method[J]. High Power Laser and Particle Beams, 2012, 24(02): 301-306.
[12]	zhang qiang, cai jingju, zhang qiheng. Dim-small moving target detection in infrared image sequences[J]. High Power Laser and Particle Beams, 2011, 23(12): 32-33.
[13]	qin jian, chen qian, qian weixian. Dim and small target detection based on complex filter bank[J]. High Power Laser and Particle Beams, 2011, 23(10): 0- .
[14]	huang yonglin, ye yutang, qiao naosheng, chen zhenlong. Infrared image segmentation based on fast fuzzy C-means clustering[J]. High Power Laser and Particle Beams, 2011, 23(06): 0- .
[15]	wu wei, zhou jinpeng, wang xingshu, qin shiqiao. Design of matched filter for target recognition in cloud background[J]. High Power Laser and Particle Beams, 2010, 22(01): 0- .
[16]	li fan, liu shangqian, hong ming, qin hanlin. Algorithm of infrared image segmentation based on ant colony[J]. High Power Laser and Particle Beams, 2010, 22(05): 0- .
[17]	chi fangting, li bo, liu yiyang, chen sufen, jiang bo. Ultraviolet light and ozone surface modification of poly-alpha α-methylstyrene using electroless nickel plating[J]. High Power Laser and Particle Beams, 2009, 21(03): 0- .
[18]	qin hanlin, zhou huixin, liu shangqian, li fan. Dim and small target background suppression using bilateral filtering[J]. High Power Laser and Particle Beams, 2009, 21(01): 0- .
[19]	liu chang-song, yan gao-shi, cai jian-rong. A new search algorithm for fast block-matching motion estimation[J]. High Power Laser and Particle Beams, 2007, 19(10): 0- .
[20]	fang liang, lu jia-jia, ye yu-tang, yang xian-ming, cheng zhi-qiang. New method for edge detection of infrared images based on Mumford-Shah model[J]. High Power Laser and Particle Beams, 2007, 19(04): 0- .