Automatic modulation format recognition for the next generation optical communication networks using artificial neural networks

Latifa Guesmi; Abir Hraghi; Mourad Menif

doi:10.1117/12.2078422

16 March 2015 Automatic modulation format recognition for the next generation optical communication networks using artificial neural networks

Latifa Guesmi, Abir Hraghi, Mourad Menif

Author Affiliations +

Proceedings Volume 9357, Physics and Simulation of Optoelectronic Devices XXIII; 93571I (2015) https://doi.org/10.1117/12.2078422
Event: SPIE OPTO, 2015, San Francisco, California, United States

Abstract

A new technique for Automatic Modulation Format Recognition (AMFR) in next generation optical communication networks is presented. This technique uses the Artificial Neural Network (ANN) in conjunction with the features of Linear Optical Sampling (LOS) of the detected signal at high bit rates using direct detection or coherent detection. The use of LOS method for this purpose mainly driven by the increase of bit rates which enables the measurement of eye diagrams. The efficiency of this technique is demonstrated under different transmission impairments such as chromatic dispersion (CD) in the range of -500 to 500 ps/nm, differential group delay (DGD) in the range of 0-15 ps and the optical signal tonoise ratio (OSNR) in the range of 10-30 dB. The results of numerical simulation for various modulation formats demonstrate successful recognition from a known bit rates with a higher estimation accuracy, which exceeds 99.8%.

Citation Download Citation

Latifa Guesmi, Abir Hraghi, and Mourad Menif "Automatic modulation format recognition for the next generation optical communication networks using artificial neural networks", Proc. SPIE 9357, Physics and Simulation of Optoelectronic Devices XXIII, 93571I (16 March 2015); https://doi.org/10.1117/12.2078422

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