A Frequency-Domain Analysis of D-dot Sensor Calibration Uncertainty

Calibration of D-dot sensors is essential before an electric field measurement. It requires knowing the frequency-domain amplitude and phase sensitivity with the associated uncertainties. Currently, no well-defined method provides vector uncertainties. This paper proposes an approach to calculating vector uncertainties with a discussion of the most influential sources.

Authors

Institutions

Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/emceurope59828.2024.10722425
Citations
3
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Frequency-Domain Analysis of D-dot Sensor Calibration Uncertainty

Damien Gapillout, P. Pradel, Matthieu Minesi, Grégoire Gavinet
3 citations
Sensor Technology and Measurement Systems
1.05
article

A Frequency-Domain Analysis of D-dot Sensor Calibration Uncertainty

Damien Gapillout, P. Pradel, Matthieu Minesi, Grégoire Gavinet
article en
3 citations

Abstract

Calibration of D-dot sensors is essential before an electric field measurement. It requires knowing the frequency-domain amplitude and phase sensitivity with the associated uncertainties. Currently, no well-defined method provides vector uncertainties. This paper proposes an approach to calculating vector uncertainties with a discussion of the most influential sources.

Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), CEA Gramat (FR)
Openalex Percentile: Top 21%
Sensor Technology and Measurement Systems
1.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.