scholarly journals Prediction performance of reservoir computing systems based on a diode-pumped erbium-doped microchip laser subject to optical feedback

2017 ◽  
Vol 42 (3) ◽  
pp. 375 ◽  
Author(s):  
Romain Modeste Nguimdo ◽  
Eric Lacot ◽  
Olivier Jacquin ◽  
Olivier Hugon ◽  
Guy Van der Sande ◽  
...  
1997 ◽  
Vol 36 (Part 2, No. 7B) ◽  
pp. L912-L915 ◽  
Author(s):  
Atsushi Uchida ◽  
Takahiro Sato ◽  
Masahiro Takeoka ◽  
Fumihiko Kannari

2018 ◽  
Vol 26 (8) ◽  
pp. 10211 ◽  
Author(s):  
YuShuang Hou ◽  
GuangQiong Xia ◽  
WenYan Yang ◽  
Dan Wang ◽  
Elumalai Jayaprasath ◽  
...  

1990 ◽  
Vol 26 (15) ◽  
pp. 1218 ◽  
Author(s):  
D.M. Spirit ◽  
G.R. Walker ◽  
P.W. France ◽  
S.F. Carter ◽  
D. Szebesta

2021 ◽  
Author(s):  
Dong-Zhou Zhong ◽  
Zhe Xu ◽  
Ya-Lan Hu ◽  
Ke-Ke Zhao ◽  
Jin-Bo Zhang ◽  
...  

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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