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PreprintCC BY 4.0arXiv

Analysis of polarization drift of optical signals over deployed aerial-inground fiber connections

  • Aneesh Ramaswamy
  • Nageswara S. V. Rao
  • Joseph C. Chapman
  • Muneer Alshowkan
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Abstract

Polarization measurements of a classical 1550-nm signal are collected and analyzed on 15-km hybrid aerial-inground fiber connections over 11 months. The spectral area and spectral moments of mHz-resolution Fast-Fourier-Transform (FFT) of these measurements are extracted, and related to temperature, humidity, wind speed, and time of day. Spectral area correlations show a strong diurnal structure: daytime maxima align with temperatures/wind speed peaks and humidity dips, with lower levels during the night. These diurnal patterns also show seasonality, with higher mean and variance in summer than winter. A random forest regressor is used to estimate FFT features from environmental measurements, informed by a theoretical model

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Cite

BibTeXRIS
BibTeX
@misc{ramaswamy2026analysis,
  title = {{Analysis of polarization drift of optical signals over deployed aerial-inground fiber connections}},
  author = {Aneesh Ramaswamy and Nageswara S. V. Rao and Joseph C. Chapman and Muneer Alshowkan},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2607.07629},
  eprint = {2607.07629},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.07629},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Analysis of polarization drift of optical signals over deployed aerial-inground fiber connections
AU  - Aneesh Ramaswamy
AU  - Nageswara S. V. Rao
AU  - Joseph C. Chapman
AU  - Muneer Alshowkan
PY  - 2026
DA  - 2026/09/11
PB  - arXiv
DO  - 10.48550/arxiv.2607.07629
UR  - https://arxiv.org/abs/2607.07629
AB  - Polarization measurements of a classical 1550-nm signal are collected and analyzed on 15-km hybrid aerial-inground fiber connections over 11 months. The spectral area and spectral moments of mHz-resolution Fast-Fourier-Transform (FFT) of these measurements are extracted, and related to temperature, humidity, wind speed, and time of day. Spectral area correlations show a strong diurnal structure: daytime maxima align with temperatures/wind speed peaks and humidity dips, with lower levels during the night. These diurnal patterns also show seasonality, with higher mean and variance in summer than winter. A random forest regressor is used to estimate FFT features from environmental measurements, informed by a theoretical model
ER  -