Complex Principal Component Analysis-Based Complex-Valued Fully Connected NN Equalizer for DP-64 QAM Coherent Detection

Xingyuan Huang; Yongjun Wang; Chao Li; Lu Han; Qi Zhang; Xiangjun Xin

doi:10.1109/OECC56963.2023.10209712

Complex Principal Component Analysis-Based Complex-Valued Fully Connected NN Equalizer for DP-64 QAM Coherent Detection

Xingyuan Huang^*, Yongjun Wang^*, Chao Li, Lu Han, Qi Zhang, Xiangjun Xin

^*Corresponding author for this work

Beijing University of Posts and Telecommunications

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A novel complex principal component analysis algorithm is applied to coherent optical detection based on complex-valued fully connected NN equalizer. Compared with real-valued equalizer, the time and space complexity are reduced by 40% and 70%.

Original language	English
Title of host publication	2023 Opto-Electronics and Communications Conference, OECC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665462136
DOIs	https://doi.org/10.1109/OECC56963.2023.10209712
Publication status	Published - 2023
Externally published	Yes
Event	2023 Opto-Electronics and Communications Conference, OECC 2023 - Shanghai, China Duration: 2 Jul 2023 → 6 Jul 2023

Publication series

Name	2023 Opto-Electronics and Communications Conference, OECC 2023

Conference

Conference	2023 Opto-Electronics and Communications Conference, OECC 2023
Country/Territory	China
City	Shanghai
Period	2/07/23 → 6/07/23

Keywords

Complex principal component analysis
complex-valued neural network

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10.1109/OECC56963.2023.10209712

Cite this

Huang, X., Wang, Y., Li, C., Han, L., Zhang, Q., & Xin, X. (2023). Complex Principal Component Analysis-Based Complex-Valued Fully Connected NN Equalizer for DP-64 QAM Coherent Detection. In 2023 Opto-Electronics and Communications Conference, OECC 2023 (2023 Opto-Electronics and Communications Conference, OECC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/OECC56963.2023.10209712

@inproceedings{cf1fa956c3944de888cd22cefaecabfa,

title = "Complex Principal Component Analysis-Based Complex-Valued Fully Connected NN Equalizer for DP-64 QAM Coherent Detection",

abstract = "A novel complex principal component analysis algorithm is applied to coherent optical detection based on complex-valued fully connected NN equalizer. Compared with real-valued equalizer, the time and space complexity are reduced by 40% and 70%.",

keywords = "Complex principal component analysis, complex-valued neural network",

author = "Xingyuan Huang and Yongjun Wang and Chao Li and Lu Han and Qi Zhang and Xiangjun Xin",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 Opto-Electronics and Communications Conference, OECC 2023 ; Conference date: 02-07-2023 Through 06-07-2023",

year = "2023",

doi = "10.1109/OECC56963.2023.10209712",

language = "English",

series = "2023 Opto-Electronics and Communications Conference, OECC 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 Opto-Electronics and Communications Conference, OECC 2023",

address = "United States",

}

Huang, X, Wang, Y, Li, C, Han, L, Zhang, Q & Xin, X 2023, Complex Principal Component Analysis-Based Complex-Valued Fully Connected NN Equalizer for DP-64 QAM Coherent Detection. in 2023 Opto-Electronics and Communications Conference, OECC 2023. 2023 Opto-Electronics and Communications Conference, OECC 2023, Institute of Electrical and Electronics Engineers Inc., 2023 Opto-Electronics and Communications Conference, OECC 2023, Shanghai, China, 2/07/23. https://doi.org/10.1109/OECC56963.2023.10209712

Complex Principal Component Analysis-Based Complex-Valued Fully Connected NN Equalizer for DP-64 QAM Coherent Detection. / Huang, Xingyuan; Wang, Yongjun; Li, Chao et al.
2023 Opto-Electronics and Communications Conference, OECC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 Opto-Electronics and Communications Conference, OECC 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Complex Principal Component Analysis-Based Complex-Valued Fully Connected NN Equalizer for DP-64 QAM Coherent Detection

AU - Huang, Xingyuan

AU - Wang, Yongjun

AU - Li, Chao

AU - Han, Lu

AU - Zhang, Qi

AU - Xin, Xiangjun

PY - 2023

Y1 - 2023

N2 - A novel complex principal component analysis algorithm is applied to coherent optical detection based on complex-valued fully connected NN equalizer. Compared with real-valued equalizer, the time and space complexity are reduced by 40% and 70%.

AB - A novel complex principal component analysis algorithm is applied to coherent optical detection based on complex-valued fully connected NN equalizer. Compared with real-valued equalizer, the time and space complexity are reduced by 40% and 70%.

KW - Complex principal component analysis

KW - complex-valued neural network

UR - http://www.scopus.com/inward/record.url?scp=85170251221&partnerID=8YFLogxK

U2 - 10.1109/OECC56963.2023.10209712

DO - 10.1109/OECC56963.2023.10209712

M3 - Conference contribution

AN - SCOPUS:85170251221

T3 - 2023 Opto-Electronics and Communications Conference, OECC 2023

BT - 2023 Opto-Electronics and Communications Conference, OECC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 Opto-Electronics and Communications Conference, OECC 2023

Y2 - 2 July 2023 through 6 July 2023

ER -

Huang X, Wang Y, Li C, Han L, Zhang Q, Xin X. Complex Principal Component Analysis-Based Complex-Valued Fully Connected NN Equalizer for DP-64 QAM Coherent Detection. In 2023 Opto-Electronics and Communications Conference, OECC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 Opto-Electronics and Communications Conference, OECC 2023). doi: 10.1109/OECC56963.2023.10209712

Complex Principal Component Analysis-Based Complex-Valued Fully Connected NN Equalizer for DP-64 QAM Coherent Detection

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Keywords

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