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PreprintarXiv licencearXiv

Characterizing Nonlinearities in IM-DD Links via the Best Linear Approximation: Distortion Analysis and Modulation Optimization

  • Sebastian Fraga Fernández
  • Leonardo Minelli
  • Fernando de Bernardinis
  • Felipe Villenas
  • Yunus Can Gültekin
  • Alex Alvarado
Open at sourcePDFDOICite

Abstract

We use the best linear approximation (BLA) to characterize nonlinearities in IM-DD links. The orthogonal nonlinear distortion is shown to be non-Gaussian. The BLA is used to approximate the optimum modulation depth for different equalizer structures.

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Cite

BibTeXRIS
BibTeX
@misc{fernandez2026characterizing,
  title = {{Characterizing Nonlinearities in IM-DD Links via the Best Linear Approximation: Distortion Analysis and Modulation Optimization}},
  author = {Sebastian Fraga Fernández and Leonardo Minelli and Fernando de Bernardinis and Felipe Villenas and Yunus Can Gültekin and Alex Alvarado},
  howpublished = {arXiv},
  year = {2026},
  month = aug,
  doi = {10.48550/arxiv.2608.11754},
  eprint = {2608.11754},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.11754},
}
RIS
TY  - UNPB
TI  - Characterizing Nonlinearities in IM-DD Links via the Best Linear Approximation: Distortion Analysis and Modulation Optimization
AU  - Sebastian Fraga Fernández
AU  - Leonardo Minelli
AU  - Fernando de Bernardinis
AU  - Felipe Villenas
AU  - Yunus Can Gültekin
AU  - Alex Alvarado
PY  - 2026
DA  - 2026/08/12
PB  - arXiv
DO  - 10.48550/arxiv.2608.11754
UR  - https://arxiv.org/abs/2608.11754
AB  - We use the best linear approximation (BLA) to characterize nonlinearities in IM-DD links. The orthogonal nonlinear distortion is shown to be non-Gaussian. The BLA is used to approximate the optimum modulation depth for different equalizer structures.
ER  -