|Table of Contents|

1.7 μm self-synchronized picosecond pulsed random Raman fiber laser(PDF)

Journal of Shenzhen University Science and Engineering[ISSN:1000-2618/CN:44-1401/N]

Issue:
2022 Vol.39 No.4(363-488)
Page:
263-368
Research Field:
Optoelectronics Engineering

Info

Title:
1.7 μm self-synchronized picosecond pulsed random Raman fiber laser
Author(s):
ZHU Yihuai1 2 SHEN Pengsheng1 ZHENG Shukai1 YU Lingpeng1 LUO Xing1 WANG Jinzhang1 YAN Peiguang1 L? Qitao3 DONG Fanlong1 2
GUO Chunyu1
and RUAN Shuangchen1 2
1) College of Physics and Optoelectronic Engineering, Shenzhen Key Laboratory of Laser Engineering, Shenzhen University, Shenzhen 518060, Guangdong Province, P. R. China
2) Key Laboratory of Advanced Optical Precision Manufacturing Technology of Guangdong Higher Education Institutes, Shenzhen Technology University, Shenzhen 518118, Guangdong Province, P. R. China
3) Han’s Laser Technology Industry Group Co. Ltd., Shenzhen 518057, Guangdong Province, P. R. China
Keywords:
optoelectronics and laser technology nonlinear optics random fiber lasers Raman fiber lasers synchronous pumping pulse
PACS:
TN248;O437
DOI:
10.3724/SP.J.1249.2022.04263
Abstract:
Aiming at the structural complexity of the current 1.7 μm band short pulse lasers, we propose and implement a self-synchronized picosecond pulsed random Raman fiber laser. The half-open Raman cavity based on random distributed feedback is pumped by a 1 578 nm pulsed fiber laser to achieve a picosecond pulse output with a central wavelength of 1 695 nm and an average power of 224 mW. The composite cavity formed by distributed Rayleigh scattering automatically satisfies the synchronous pumping condition without the need for precise matching of cavity length or complex feedback control in the system. By inserting a wavelength division multiplexer in the cavity, the random sub-cavity noise is suppressed and the stability of the output pulse is improved. To the best of our knowledge, this is the first realization of a random pulse fiber laser operating at 1.7 μm, which can be widely used in bioimaging and material processing.

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