An analytic, efficient and optimal readout algorithm for compact interferometers based on deep frequency modulation

Compact laser interferometers with large dynamic range are one of the core emerging tools to improve low frequency performance in gravitational wave detectors by providing local displacement sensing with sub 1 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mtext>pm</mml:mtext> <mml:mspace></mml:mspace> <mml:msup><mml:mtext>Hz</mml:mtext> <mml:mrow><mml:mo>-</mml:mo> <mml:mn>0.5</mml:mn></mml:mrow> </mml:msup> </mml:mrow> </mml:math> precision. Strong sinusoidal frequency modulations are used in such laser interferometers to create heterodyne-like photodetector signals from which the phase and other parameters, such as the absolute distance, can be extracted. The nested sinusoidal function in such signals is a challenge for the real-time parameter estimation in low-noise applications. In this article, we present an algorithm to calculate exact signal parameters in a non-iterative way from such interferometric signals. The algorithm makes use of a recurrence relation between Bessel functions to enable a direct extraction of modulation parameters from the signal. Additionally, the algorithm is capable of dealing with high phase dynamics where the Doppler-shift of the signal becomes relevant and can limit the range and precision of the parameter estimation, if not accounted for. Simulations show that the algorithm is computationally efficient, can be well parallelised and the phase estimation is close to optimal precision given by the Cramer-Rao lower bound of the signal parameters.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-09-23
DOI
https://doi.org/10.1038/s41598-024-70392-9
Citations
4
Primary Topic
Advanced Frequency and Time Standards
Type
article
Field-Weighted Citation Impact
1.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An analytic, efficient and optimal readout algorithm for compact interferometers based on deep frequency modulation

T. Eckhardt, Oliver Gerberding
4 citations
Scientific Reports
Advanced Frequency and Time Standards
1.35
article

An analytic, efficient and optimal readout algorithm for compact interferometers based on deep frequency modulation

T. Eckhardt, Oliver Gerberding
article en
4 citations

Abstract

Compact laser interferometers with large dynamic range are one of the core emerging tools to improve low frequency performance in gravitational wave detectors by providing local displacement sensing with sub 1 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mtext>pm</mml:mtext> <mml:mspace></mml:mspace> <mml:msup><mml:mtext>Hz</mml:mtext> <mml:mrow><mml:mo>-</mml:mo> <mml:mn>0.5</mml:mn></mml:mrow> </mml:msup> </mml:mrow> </mml:math> precision. Strong sinusoidal frequency modulations are used in such laser interferometers to create heterodyne-like photodetector signals from which the phase and other parameters, such as the absolute distance, can be extracted. The nested sinusoidal function in such signals is a challenge for the real-time parameter estimation in low-noise applications. In this article, we present an algorithm to calculate exact signal parameters in a non-iterative way from such interferometric signals. The algorithm makes use of a recurrence relation between Bessel functions to enable a direct extraction of modulation parameters from the signal. Additionally, the algorithm is capable of dealing with high phase dynamics where the Doppler-shift of the signal becomes relevant and can limit the range and precision of the parameter estimation, if not accounted for. Simulations show that the algorithm is computationally efficient, can be well parallelised and the phase estimation is close to optimal precision given by the Cramer-Rao lower bound of the signal parameters.

Scientific ReportsVol. 14(1)
Universität Hamburg (DE), Hamburg Institut (Germany) (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Universität Hamburg
Openalex Percentile: Top 20%
Advanced Frequency and Time Standards
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.