Fiber-optic MZI activity monitoring based on RLS algorithm

Jiayu Wang; Wei Xu; Bo Dong; Changyuan Yu; Shuying Han

doi:10.1109/ICOCN.2019.8933918

Fiber-optic MZI activity monitoring based on RLS algorithm

Jiayu Wang, Wei Xu, Bo Dong, Changyuan Yu, Shuying Han

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

A non-invasive activity monitoring using Mach-Zehnder interferometer (MZI) is presented and recursive least square (RLS) algorithm is performed to classify presence and absence activity states with accuracy higher than 98.5% within 1 second.

Original language	English
Title of host publication	2019 18th International Conference on Optical Communications and Networks, ICOCN 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728127644
DOIs	https://doi.org/10.1109/ICOCN.2019.8933918
Publication status	Published - Aug 2019
Event	18th International Conference on Optical Communications and Networks, ICOCN 2019 - Huangshan, China Duration: 5 Aug 2019 → 8 Aug 2019

Publication series

Name	2019 18th International Conference on Optical Communications and Networks, ICOCN 2019

Conference

Conference	18th International Conference on Optical Communications and Networks, ICOCN 2019
Country/Territory	China
City	Huangshan
Period	5/08/19 → 8/08/19

Keywords

Activity monitoring
MZI
RLS algorithm

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics

More information

10.1109/ICOCN.2019.8933918

http://hdl.handle.net/10397/107168

Cite this

Wang, J., Xu, W., Dong, B., Yu, C., & Han, S. (2019). Fiber-optic MZI activity monitoring based on RLS algorithm. In 2019 18th International Conference on Optical Communications and Networks, ICOCN 2019 Article 8933918 (2019 18th International Conference on Optical Communications and Networks, ICOCN 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOCN.2019.8933918

@inproceedings{90716a4db58146b6b90eb41264240c00,

title = "Fiber-optic MZI activity monitoring based on RLS algorithm",

abstract = "A non-invasive activity monitoring using Mach-Zehnder interferometer (MZI) is presented and recursive least square (RLS) algorithm is performed to classify presence and absence activity states with accuracy higher than 98.5% within 1 second.",

keywords = "Activity monitoring, MZI, RLS algorithm",

author = "Jiayu Wang and Wei Xu and Bo Dong and Changyuan Yu and Shuying Han",

year = "2019",

month = aug,

doi = "10.1109/ICOCN.2019.8933918",

language = "English",

series = "2019 18th International Conference on Optical Communications and Networks, ICOCN 2019",

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

booktitle = "2019 18th International Conference on Optical Communications and Networks, ICOCN 2019",

note = "18th International Conference on Optical Communications and Networks, ICOCN 2019 ; Conference date: 05-08-2019 Through 08-08-2019",

}

Wang, J, Xu, W, Dong, B, Yu, C & Han, S 2019, Fiber-optic MZI activity monitoring based on RLS algorithm. in 2019 18th International Conference on Optical Communications and Networks, ICOCN 2019., 8933918, 2019 18th International Conference on Optical Communications and Networks, ICOCN 2019, Institute of Electrical and Electronics Engineers Inc., 18th International Conference on Optical Communications and Networks, ICOCN 2019, Huangshan, China, 5/08/19. https://doi.org/10.1109/ICOCN.2019.8933918

Fiber-optic MZI activity monitoring based on RLS algorithm. / Wang, Jiayu; Xu, Wei; Dong, Bo et al.
2019 18th International Conference on Optical Communications and Networks, ICOCN 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8933918 (2019 18th International Conference on Optical Communications and Networks, ICOCN 2019).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Fiber-optic MZI activity monitoring based on RLS algorithm

AU - Wang, Jiayu

AU - Xu, Wei

AU - Dong, Bo

AU - Yu, Changyuan

AU - Han, Shuying

PY - 2019/8

Y1 - 2019/8

N2 - A non-invasive activity monitoring using Mach-Zehnder interferometer (MZI) is presented and recursive least square (RLS) algorithm is performed to classify presence and absence activity states with accuracy higher than 98.5% within 1 second.

AB - A non-invasive activity monitoring using Mach-Zehnder interferometer (MZI) is presented and recursive least square (RLS) algorithm is performed to classify presence and absence activity states with accuracy higher than 98.5% within 1 second.

KW - Activity monitoring

KW - MZI

KW - RLS algorithm

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U2 - 10.1109/ICOCN.2019.8933918

DO - 10.1109/ICOCN.2019.8933918

M3 - Conference article published in proceeding or book

AN - SCOPUS:85078573932

T3 - 2019 18th International Conference on Optical Communications and Networks, ICOCN 2019

BT - 2019 18th International Conference on Optical Communications and Networks, ICOCN 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th International Conference on Optical Communications and Networks, ICOCN 2019

Y2 - 5 August 2019 through 8 August 2019

ER -

Wang J, Xu W, Dong B, Yu C, Han S. Fiber-optic MZI activity monitoring based on RLS algorithm. In 2019 18th International Conference on Optical Communications and Networks, ICOCN 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8933918. (2019 18th International Conference on Optical Communications and Networks, ICOCN 2019). doi: 10.1109/ICOCN.2019.8933918

Fiber-optic MZI activity monitoring based on RLS algorithm

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

More information

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