Paper
15 December 2022 Advanced optical modulation formats identification and signal-to-noise-ratio estimation based on VGG16
Xiaowei Dong, Zhihui Yu
Author Affiliations +
Proceedings Volume 12478, Thirteenth International Conference on Information Optics and Photonics (CIOP 2022); 124781G (2022) https://doi.org/10.1117/12.2653310
Event: Thirteenth International Conference on Information Optics and Photonics (CIOP 2022), 2022, Xi'an, China
Abstract
In this paper, we adopt VGG-16 deep learning model and signal constellation diagrams to identify five different types of advanced optical modulation formats: BPSK, 4QAM, QPSK, 8QAM, 8PSK. 100% identification accuracy and no confusion are achieved for signal-to-noise ratio (SNR) higher than 8dB. Compared with the methods have been reported, the proposed method has the advantages of not requiring manual feature extraction, having the ability to identify the modulation format with high accuracy and to estimate the SNR.
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Xiaowei Dong and Zhihui Yu "Advanced optical modulation formats identification and signal-to-noise-ratio estimation based on VGG16", Proc. SPIE 12478, Thirteenth International Conference on Information Optics and Photonics (CIOP 2022), 124781G (15 December 2022); https://doi.org/10.1117/12.2653310
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KEYWORDS
Modulation

Signal to noise ratio

Convolution

Signal detection

Optical networks

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