Phase disturbance due to atmospheric turbulence aects fringe tracking. Algorithms aimed at fringe parameter identification are based on interferometric models that have to be carefully adapted to the interfered beams, including sources of variability. All the information is contained in the collected signals, and how to extract it is a major research problem. This work aims to determine some stochastic properties of the signals from the data that are useful for modelling. We apply statistical techniques to real interferometric signals. We examine the composition of signals before and after the combination using time series analysis, and we separate pure random eects and peculiar features from trends. Multivariate regression analysis allows us to isolate noise components due to the interference physical process.

Statistical Techniques for Interferometric Signal Analysis

BONINO, DONATA;SACERDOTE, Laura Lea
2010

Abstract

Phase disturbance due to atmospheric turbulence aects fringe tracking. Algorithms aimed at fringe parameter identification are based on interferometric models that have to be carefully adapted to the interfered beams, including sources of variability. All the information is contained in the collected signals, and how to extract it is a major research problem. This work aims to determine some stochastic properties of the signals from the data that are useful for modelling. We apply statistical techniques to real interferometric signals. We examine the composition of signals before and after the combination using time series analysis, and we separate pure random eects and peculiar features from trends. Multivariate regression analysis allows us to isolate noise components due to the interference physical process.
53° congresso della Società Astronomica Italiana "L'universo quattro secoli dopo Galileo"
Pisa
4-8 maggio 2009
14
222
225
http://sait.oat.ts.astro.it/MSAIS/14/PDF/222.pdf
Interferometry; Spectral Signal Analysis; Statistical Analysis
Bonino D.; Gai M.; Sacerdote L.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/64321
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact