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Transmitter Nonlinearity Mitigation Using Direct Learning Architecture Based Digital Predistortion Coefficients Identification

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Abstract

We propose to identify the coefficients of digital predistortion equalizer based on direct learning architecture (DLA) for 100 GBaud 16QAM and 80 GBaud 64QAM transmission. Effective SNR improvement of 0.54dB and 0.66dB were experimentally verified.

© 2024 The Author(s)

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