Device dependent distortion correction in time-stretch photonic analog to digital converters using deep neural networks.
Optical Fiber Communications Conference and Exhibition(2024)
摘要
We experimentally demonstrate a novel deep learning-aided time-stretch photonic front end architecture to overcome device-dependent distortions to improve the signal-to-noise and distortion ratio by more than 24 dB, and reduce the bandwidth requirements of the back-end electronic ADC by three times.
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关键词
Distortion,Deep Neural Network,Analog-to-digital Converter,Time-stretch,Radiofrequency,Photodetector,Feed-forward Network,Optical Pulse,Dispersion Medium,Even And Odd,Electro-optic Modulator,Time-domain Data,Optical Communication Systems,Timing Jitter,Stretching Factor
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