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Ahead of Print article · Journal article

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

From

Department of Photonics Engineering, Technical University of Denmark1

Machine Learning in Photonic Systems, Department of Photonics Engineering, Technical University of Denmark2

Ultra-fast Optical Communication, Department of Photonics Engineering, Technical University of Denmark3

Quantum Physics and Information Technology, Department of Physics, Technical University of Denmark4

Department of Physics, Technical University of Denmark5

Chinese University of Hong Kong6

University of California at Santa Barbara7

Center for Macroscopic Quantum States, Department of Physics, Technical University of Denmark8

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.

Language: English
Publisher: IEEE
Year: 2019
Pages: 1866-1869
ISSN: 19410174 and 10411135
Types: Ahead of Print article and Journal article
DOI: 10.1109/LPT.2019.2945051
ORCIDs: Zibar, Darko , Chin, Hou-Man , 0000-0002-7867-1918 , 0000-0003-0203-5170 , 0000-0003-4270-8296 , Andersen, Ulrik Lund , Jain, Nitin and Gehring, Tobias

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