Phase Noise Suppression via Precise Eigen Frequency Measurement in IFOGs

We propose a second harmonic descent algorithm for suppressing phase noise induced by modulation frequency deviation in dual-channel IFOGs, which reduces the relative modulation frequency error to 35 ppb and the ARW by 2.6-fold.

Authors

Institutions

Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11109685
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Phase Noise Suppression via Precise Eigen Frequency Measurement in IFOGs

Zhengbin Li, Lanxin Zhu, Xinyu Cao
Sensor Technology and Measurement Systems
article

Phase Noise Suppression via Precise Eigen Frequency Measurement in IFOGs

Zhengbin Li, Lanxin Zhu, Xinyu Cao
article en

Abstract

We propose a second harmonic descent algorithm for suppressing phase noise induced by modulation frequency deviation in dual-channel IFOGs, which reduces the relative modulation frequency error to 35 ppb and the ARW by 2.6-fold.

Peking University (CN)
Affordable and clean energy
Openalex Percentile: Top 76%
Sensor Technology and Measurement Systems
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.