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Proceedings Paper

Analytical model and spectral correction of vibration effects on Fourier transform spectrometer
Author(s): Irina Shatalina; Frederic Schmidt; Bortolino Saggin; Nicolas Gac; Matthieu Kowalski; Marco Giuranna
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Paper Abstract

Sensitivity to mechanical vibrations of Fourier Transform Spectrometers (FTS) is a well-known phenomenon. It is especially critical for FTS devoted to atmospheric studies (like the Planetary Fourier Spectrometer (PFS) onboard Mars Express 2003), as absorption bands for the gases of low concentration are comparable with the generated instrument spectral noise. The adopted techniques for the vibration sensitivity reduction suffer of limitations in practical implementation, leaving residual modulations of the interferogram and the so-called ghosts in the spectra. Moreover as it is often impossible to measure the vibrations during the FTS measurement, the position and magnitude of these ghosts cannot be evaluated. Up to now the adopted ghost reduction techniques are mostly based on the averaging of spectra, because the disturbance phase is randomly distributed. This paper presents an innovative data treatment technique which allows single spectrum correction from distortions of unknown nature. Such a technique would increase the spatial resolution of the mapping process and becomes crucial when the desired information is linked to a particular mapping area associated to an individual spectrum. The full study consists in the explicit analysis of the ghost formation and the post-processing algorithm based on the semiblind deconvolution method – an iterative numerical algorithm of the series of consecutive deconvolutions. The technique was tested on the data from the PFS and the algorithm proved to be consistent according to the selected efficiency criteria (coming from the available general information about the signal spectral shape).

Paper Details

Date Published: 17 October 2013
PDF: 9 pages
Proc. SPIE 8890, Remote Sensing of Clouds and the Atmosphere XVIII; and Optics in Atmospheric Propagation and Adaptive Systems XVI, 88900S (17 October 2013); doi: 10.1117/12.2028632
Show Author Affiliations
Irina Shatalina, Politecnico di Milano (Italy)
Frederic Schmidt, Lab. IDES, UMR 8148, Univ. Paris-Sud 11 (France)
Bortolino Saggin, Politecnico di Milano (Italy)
Nicolas Gac, L2S, SUPELEC, CNRS, Univ. Paris-Sud 11 (France)
Matthieu Kowalski, L2S, SUPELEC, CNRS, Univ. Paris-Sud 11 (France)
Marco Giuranna, Istituto di Fisica dello Spazio Interplanetario (Italy)


Published in SPIE Proceedings Vol. 8890:
Remote Sensing of Clouds and the Atmosphere XVIII; and Optics in Atmospheric Propagation and Adaptive Systems XVI
Adolfo Comeron; Karin Stein; John D. Gonglewski; Evgueni I. Kassianov; Klaus Schäfer, Editor(s)

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