Robust all-optical harmonic clock signal generation through optical injection into passively mode-locked semiconductor lasers

2001 ◽  
Vol 13 (9) ◽  
pp. 1017-1019 ◽  
Author(s):  
M. Attygalle ◽  
H.F. Liu ◽  
A. Nirmalathas
Keyword(s):  
Semiconductor Lasers ◽  
Optical Injection ◽  
Signal Generation ◽  
Clock Signal ◽  
All Optical ◽  
Optical Harmonic

1550 nm mode-locked semiconductor lasers for all-optical analog-to-digital conversion

2017 ◽  
Author(s):  
Evgenii S. Kolodeznyi ◽  
Innokenty I. Novikov ◽  
Andrey V. Babichev ◽  
Alexander S. Kurochkin ◽  
Andrey G. Gladyshev ◽  
...  
Keyword(s):  
Semiconductor Lasers ◽  
Digital Conversion ◽  
Analog To Digital ◽  
Analog To Digital Conversion ◽  
All Optical ◽  
Optical Analog

Multi-target ranging using optical reservoir computing approach in the laterally coupled semiconductor lasers with self-feedback

2021 ◽  
Author(s):  
Dong-Zhou Zhong ◽  
Zhe Xu ◽  
Ya-Lan Hu ◽  
Ke-Ke Zhao ◽  
Jin-Bo Zhang ◽  
...  
Keyword(s):  
Semiconductor Lasers ◽  
Hilbert Transform ◽  
Optical Feedback ◽  
Optical Injection ◽  
Reservoir Computing ◽  
Probe Signal ◽  
Laser Array ◽  
Target Ranging ◽  
Relative Errors ◽  
Computing Approach

Abstract In this work, we utilize three parallel reservoir computers using semiconductor lasers with optical feedback and light injection to model radar probe signals with delays. Three radar probe signals are generated by driving lasers constructed by a three-element lase array with self-feedback. The response lasers are implemented also by a three-element lase array with both delay-time feedback and optical injection, which are utilized as nonlinear nodes to realize the reservoirs. We show that each delayed radar probe signal can well be predicted and to synchronize with its corresponding trained reservoir, even when there exist parameter mismatches between the response laser array and the driving laser array. Based on this, the three synchronous probe signals are utilized for ranging to three targets, respectively, using Hilbert transform. It is demonstrated that the relative errors for ranging can be very small and less than 0.6%. Our findings show that optical reservoir computing provides an effective way for applications of target ranging.

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