A Multi-Stage Method for Least-Square based Longitudinal Power Profile Computation

We propose a multi-stage computation for longitudinal power monitoring reducing the memory footprint compared to linear least square approach. We demonstrate a power accuracy penalty lower than 0.1dB over more than 85% of link.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/ofc.2025.w3e.8
Citations
3
Primary Topic
Optical Network Technologies
Type
article
Field-Weighted Citation Impact
2.19
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article

A Multi-Stage Method for Least-Square based Longitudinal Power Profile Computation

Patricia Layec, Alessandro Pacini, Fabien Boitier, Alix May
3 citations
Optical Network Technologies
2.19
article

A Multi-Stage Method for Least-Square based Longitudinal Power Profile Computation

Patricia Layec, Alessandro Pacini, Fabien Boitier, Alix May
article en
3 citations

Abstract

We propose a multi-stage computation for longitudinal power monitoring reducing the memory footprint compared to linear least square approach. We demonstrate a power accuracy penalty lower than 0.1dB over more than 85% of link.

Scuola Superiore Sant'Anna (IT), Nokia (France) (FR)
Openalex Percentile: Top 12%
Optical Network Technologies
2.19
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A Multi-Stage Method for Least-Square based Longitudinal Power Profile Computation — Patricia Layec, Alessandro Pacini, et al. · (2025) | TGRS Research Map | TGRS