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http://hdl.handle.net/10397/107168
Title: | Fiber-optic MZI activity monitoring based on RLS algorithm | Authors: | Wang, J Xu, W Dong, B Yu, C Han, S |
Issue Date: | 2019 | Source: | In Proceedings of 2019 18th International Conference on Optical Communications and Networks (ICOCN), 05-08 August 2019, Huangshan, China | 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 |
Publisher: | Institute of Electrical and Electronics Engineers | ISBN: | 978-1-7281-2764-4 (Electronic) 978-1-7281-2763-7 (USB) 978-1-7281-2765-1 (Print on Demand(PoD)) |
DOI: | 10.1109/ICOCN.2019.8933918 | Description: | 2019 18th International Conference on Optical Communications and Networks (ICOCN), 05-08 August 2019, Huangshan, China | Rights: | ©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication J. Wang, W. Xu, B. Dong, C. Yu and S. Han, "Fiber-optic MZI activity monitoring based on RLS algorithm," 2019 18th International Conference on Optical Communications and Networks (ICOCN), Huangshan, China, 2019 is available at https://doi.org/10.1109/ICOCN.2019.8933918. |
Appears in Collections: | Conference Paper |
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Yu_Fiber-Optic_Mzi_Activity.pdf | Pre-Published version | 559.93 kB | Adobe PDF | View/Open |
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