☆ 3.8 Proceedings Paper

Deep learning-based Phase Retrieval Scheme for Minimum Phase Signal Recovery

2022 ITALIAN CONFERENCE ON OPTICS AND PHOTONICS (ICOP) (2022)

Deep learning-based Phase Retrieval Scheme for Minimum Phase Signal Recovery

Daniele Orsuti et al.

Summary: In this paper, we propose a deep learning-based phase retrieval scheme that can perform full-field recovery and compensate for propagation-related impairments. Simulation results show that this scheme can relax the requirements for carrier-to-signal power ratio and improve receiver sensitivity.

2022 ITALIAN CONFERENCE ON OPTICS AND PHOTONICS (ICOP) (2022)

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Article Engineering, Electrical & Electronic

A Study on Sampling Penalties Reduction of Kramers-Kronig Receivers

Kentaro Toba et al.

Summary: The proposed method suggests using digital upsampling with harmonic filtering to relax the requirements for sampling rate and CSPR in KK receiver design, while still complying with the 2nd generation FEC limit in 16-QAM 40-km transmission.

JOURNAL OF LIGHTWAVE TECHNOLOGY (2021)

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Article Engineering, Electrical & Electronic