166-m Rolling Shutter Based Free Space Optical Communication (FSO) Utilizing Long Short Term Memory Neural Network (LSTM-NN) for Decoding PAM4 Signal

Deng Cheng Tsai*, Yun Han Chang, Shang Yen Tsai, Li Sheng Hsu, Chi Wai Chow*, Ching Wei Peng, Yuan Zeng Lin, Yin He Jian, Yang Liu, Chien Hung Yeh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose and preset the first demonstration of a record high 298.8-kbit/s•m bit-rate distance product rolling-shutter image-sensor based free-space-optical-communication (FSO) system. Long-short-term-memory-neural-network (LSTM-NN) is utlized to decode the 4-level pulse-amplitude-modulation (PAM4) rolling-shutter pattern.

Original languageEnglish
Title of host publication2022 European Conference on Optical Communication, ECOC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781957171159
StatePublished - 2022
Event2022 European Conference on Optical Communication, ECOC 2022 - Basel, Switzerland
Duration: 18 Sep 202222 Sep 2022

Publication series

Name2022 European Conference on Optical Communication, ECOC 2022

Conference

Conference2022 European Conference on Optical Communication, ECOC 2022
Country/TerritorySwitzerland
CityBasel
Period18/09/2222/09/22

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