Highly—sensitive phase and frequency noise measurement technique using Bayesian filtering

Darko Zibar, Hou-Man Chin, Yeyu Tong, Nitin Jain, Joel Guo, Lin Chang, Tobias Gehring, John E. Bowers, Ulrik Lund Andersen

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Spectral purity of laser sources is typically investigated using phase or frequency noise measurements, which require extraction of the optical phase. This is a challenging task if the signal–to–noise–ratio (SNR) of the spectral line or the linewidth–to–noise–ratio (LNR) are not sufficiently high. In this paper, we present a statistically optimal method for optical phase noise measurement that relies on coherent detection and Bayesian filtering. The proposed method offers a record sensitivity, as the optical phase is measured at a signal power of -75 dBm (SNR of -11 dB in 1.1 GHz receiver bandwidth). Practically, this means that the phase noise measurements are, up to a high–degree, not limited by the measurement noise floor. This allows measurements down to -200 dB rad2/Hz and up to 10 GHz, which is useful when measuring the Schawlow–Townes (quantum noise limited) laser linewidth. Finally, the estimated optical phase is highly accurate allowing for quantum limited signal demodulation. The method thus holds the potential to become a reference measurement tool.
Original languageEnglish
JournalIEEE Photonics Technology Letters
Number of pages4
ISSN1041-1135
DOIs
Publication statusAccepted/In press - 2019

Keywords

  • Phase noise
  • Lasers
  • Frequency combs
  • Bayesian filtering
  • Machine learning

Cite this

@article{3050e3d3d19040c1bb5c7677984c7ca3,
title = "Highly—sensitive phase and frequency noise measurement technique using Bayesian filtering",
abstract = "Spectral purity of laser sources is typically investigated using phase or frequency noise measurements, which require extraction of the optical phase. This is a challenging task if the signal–to–noise–ratio (SNR) of the spectral line or the linewidth–to–noise–ratio (LNR) are not sufficiently high. In this paper, we present a statistically optimal method for optical phase noise measurement that relies on coherent detection and Bayesian filtering. The proposed method offers a record sensitivity, as the optical phase is measured at a signal power of -75 dBm (SNR of -11 dB in 1.1 GHz receiver bandwidth). Practically, this means that the phase noise measurements are, up to a high–degree, not limited by the measurement noise floor. This allows measurements down to -200 dB rad2/Hz and up to 10 GHz, which is useful when measuring the Schawlow–Townes (quantum noise limited) laser linewidth. Finally, the estimated optical phase is highly accurate allowing for quantum limited signal demodulation. The method thus holds the potential to become a reference measurement tool.",
keywords = "Phase noise, Lasers, Frequency combs, Bayesian filtering, Machine learning",
author = "Darko Zibar and Hou-Man Chin and Yeyu Tong and Nitin Jain and Joel Guo and Lin Chang and Tobias Gehring and Bowers, {John E.} and Andersen, {Ulrik Lund}",
year = "2019",
doi = "10.1109/LPT.2019.2945051",
language = "English",
journal = "I E E E Photonics Technology Letters",
issn = "1041-1135",
publisher = "Institute of Electrical and Electronics Engineers",

}

Highly—sensitive phase and frequency noise measurement technique using Bayesian filtering. / Zibar, Darko; Chin, Hou-Man; Tong, Yeyu; Jain, Nitin; Guo, Joel; Chang, Lin; Gehring, Tobias; Bowers, John E.; Andersen, Ulrik Lund.

In: IEEE Photonics Technology Letters, 2019.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Highly—sensitive phase and frequency noise measurement technique using Bayesian filtering

AU - Zibar, Darko

AU - Chin, Hou-Man

AU - Tong, Yeyu

AU - Jain, Nitin

AU - Guo, Joel

AU - Chang, Lin

AU - Gehring, Tobias

AU - Bowers, John E.

AU - Andersen, Ulrik Lund

PY - 2019

Y1 - 2019

N2 - Spectral purity of laser sources is typically investigated using phase or frequency noise measurements, which require extraction of the optical phase. This is a challenging task if the signal–to–noise–ratio (SNR) of the spectral line or the linewidth–to–noise–ratio (LNR) are not sufficiently high. In this paper, we present a statistically optimal method for optical phase noise measurement that relies on coherent detection and Bayesian filtering. The proposed method offers a record sensitivity, as the optical phase is measured at a signal power of -75 dBm (SNR of -11 dB in 1.1 GHz receiver bandwidth). Practically, this means that the phase noise measurements are, up to a high–degree, not limited by the measurement noise floor. This allows measurements down to -200 dB rad2/Hz and up to 10 GHz, which is useful when measuring the Schawlow–Townes (quantum noise limited) laser linewidth. Finally, the estimated optical phase is highly accurate allowing for quantum limited signal demodulation. The method thus holds the potential to become a reference measurement tool.

AB - Spectral purity of laser sources is typically investigated using phase or frequency noise measurements, which require extraction of the optical phase. This is a challenging task if the signal–to–noise–ratio (SNR) of the spectral line or the linewidth–to–noise–ratio (LNR) are not sufficiently high. In this paper, we present a statistically optimal method for optical phase noise measurement that relies on coherent detection and Bayesian filtering. The proposed method offers a record sensitivity, as the optical phase is measured at a signal power of -75 dBm (SNR of -11 dB in 1.1 GHz receiver bandwidth). Practically, this means that the phase noise measurements are, up to a high–degree, not limited by the measurement noise floor. This allows measurements down to -200 dB rad2/Hz and up to 10 GHz, which is useful when measuring the Schawlow–Townes (quantum noise limited) laser linewidth. Finally, the estimated optical phase is highly accurate allowing for quantum limited signal demodulation. The method thus holds the potential to become a reference measurement tool.

KW - Phase noise

KW - Lasers

KW - Frequency combs

KW - Bayesian filtering

KW - Machine learning

U2 - 10.1109/LPT.2019.2945051

DO - 10.1109/LPT.2019.2945051

M3 - Journal article

JO - I E E E Photonics Technology Letters

JF - I E E E Photonics Technology Letters

SN - 1041-1135

ER -