Development of a Machine Learning Based Algorithm to Identify the Main Types of Optical Signal Transmission Faults Between a Switch and an Optical Transceiver

2021 ◽  
Author(s):  
Aleksandr A. Kashtanov ◽  
Mihail E. Pazhetnov ◽  
Elena V. Kashtanova ◽  
Evgeniy S. Koptev ◽  
Igor A. Furiaev
Keyword(s):  
Machine Learning ◽  
Signal Transmission ◽  
Optical Signal

scholarly journals Designing Plasmonic Eigenstates for Optical Signal Transmission in Planar Channel Devices

ACS Photonics ◽  
2018 ◽  
Vol 5 (6) ◽  
pp. 2328-2335 ◽  
Author(s):  
Upkar Kumar ◽  
Sviatlana Viarbitskaya ◽  
Aurélien Cuche ◽  
Christian Girard ◽  
Sreenath Bolisetty ◽  
...  
Keyword(s):  
Signal Transmission ◽  
Optical Signal ◽  
Planar Channel

Optical SNR estimation using machine learning

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Palash Rai ◽  
Rahul Kaushik
Keyword(s):  
Machine Learning ◽  
Signal Analysis ◽  
Nearest Neighbor ◽  
Signal To Noise Ratio ◽  
Optical Signal ◽  
Machine Learning Algorithms ◽  
K Nearest Neighbor ◽  
Eye Diagram ◽  
Test Instrument ◽  
Data Signal

Abstract A technique for the estimation of an optical signal-to-noise ratio (OSNR) using machine learning algorithms has been proposed. The algorithms are trained with parameters derived from eye-diagram via simulation in 10 Gb/s On-Off Keying (OOK) nonreturn-to-zero (NRZ) data signal. The performance of different machine learning (ML) techniques namely, multiple linear regression, random forest, and K-nearest neighbor (K-NN) for OSNR estimation in terms of mean square error and R-squared value has been compared. The proposed methods may be useful for intelligent signal analysis in a test instrument and to monitor optical performance.

scholarly journals Influences of weather phenomena on automotive laser radar systems

2011 ◽  
Vol 9 ◽  
pp. 49-60 ◽  
Author(s):  
R. H. Rasshofer ◽  
M. Spies ◽  
H. Spies
Keyword(s):  
High Performance ◽  
Signal Transmission ◽  
Optical Signal ◽  
Laser Radar ◽  
Radar Signal ◽  
Radar Systems ◽  
Perception System ◽  
Theoretical Investigations ◽  
Physical Principles ◽  
Transmission Models

Abstract. Laser radar (lidar) sensors provide outstanding angular resolution along with highly accurate range measurements and thus they were proposed as a part of a high performance perception system for advanced driver assistant functions. Based on optical signal transmission and reception, laser radar systems are influenced by weather phenomena. This work provides an overview on the different physical principles responsible for laser radar signal disturbance and theoretical investigations for estimation of their influence. Finally, the transmission models are applied for signal generation in a newly developed laser radar target simulator providing – to our knowledge – worldwide first HIL test capability for automotive laser radar systems.

Large-dispersion-tolerance optical signal transmission system based on temporal imaging

2002 ◽  
Vol 27 (8) ◽  
pp. 583 ◽  
Author(s):  
Toshikazu Sakano ◽  
Kentaro Uchiyama ◽  
Ippei Shake ◽  
Toshio Morioka ◽  
Kazuo Hagimoto
Keyword(s):  
Signal Transmission ◽  
Optical Signal ◽  
Transmission System ◽  
Large Dispersion ◽  
Dispersion Tolerance

scholarly journals Possibilities for Advanced Encoding Techniques at Signal Transmission in the Optical Transmission Medium

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Filip Čertík ◽  
Rastislav Róka
Keyword(s):  
Optical Fiber ◽  
Simulation Model ◽  
Optical Transmission ◽  
Signal Transmission ◽  
Optical Signal ◽  
Negative Effects ◽  
Transmission Systems ◽  
High Data ◽  
Modulation Techniques ◽  
Optical Transmission Systems

This paper presents a possible simulation of negative effects in the optical transmission medium and an analysis for the utilization of different signal processing techniques at the optical signal transmission. An attention is focused on the high data rate signal transmission in the optical fiber influenced by linear and nonlinear environmental effects presented by the prepared simulation model. The analysis includes possible utilization of OOK, BPSK, DBPSK, BFSK, QPSK, DQPSK, 8PSK, and 16QAM modulation techniques together with RS, BCH, and LDPC encoding techniques for the signal transmission in the optical fiber. Moreover, the prepared simulation model is compared with real optical transmission systems. In the final part, a comparison of the selected modulation techniques with different encoding techniques and their implementation in real transmission systems is shown.

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