Prediction Unwrapping Algorithm with Linear Kalman Filter to Expand the Dynamic Range of Phase-Sensitive OTDR

Prediction unwrapping algorithm with linear Kalman filter is proposed to overcome the limitation of the conventional unwrapping algorithm in phase-sensitive OTDR. The experimental results show that the dynamic range increased by five times.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11109419
Primary Topic
Optical Coherence Tomography Applications
Type
article
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article

Prediction Unwrapping Algorithm with Linear Kalman Filter to Expand the Dynamic Range of Phase-Sensitive OTDR

Naoki Yamashiro, Hitoshi Murai, Yoshihiro Kanda
Optical Coherence Tomography Applications
article

Prediction Unwrapping Algorithm with Linear Kalman Filter to Expand the Dynamic Range of Phase-Sensitive OTDR

Naoki Yamashiro, Hitoshi Murai, Yoshihiro Kanda
article en

Abstract

Prediction unwrapping algorithm with linear Kalman filter is proposed to overcome the limitation of the conventional unwrapping algorithm in phase-sensitive OTDR. The experimental results show that the dynamic range increased by five times.

Oki Electric Industry (Japan) (JP)
Openalex Percentile: Top 80%
Optical Coherence Tomography Applications
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Prediction Unwrapping Algorithm with Linear Kalman Filter to Expand the Dynamic Range of Phase-Sensitive OTDR — Naoki Yamashiro, Hitoshi Murai, et al. · (2025) | TGRS Research Map | TGRS