Maximum likelihood method for calibration of Mueller polarimeters in reflection configuration

Abstract : We address calibration of Mueller polarimeters in the presence of noise. We compare an extension of the eigenvalue calibration method (ECM) and a maximum likelihood (ML) method. The performances of these two calibration methods are investigated with numerical simulations and real experiments on a broadband infrared polarimeter. It is found that the ML method is superior to the extended ECM in terms of calibration precision and can be used at lower signal-to-noise ratio.
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https://hal.archives-ouvertes.fr/hal-00856515
Contributor : Enric Garcia-Caurel <>
Submitted on : Sunday, September 1, 2013 - 6:57:25 PM
Last modification on : Monday, August 5, 2019 - 2:52:03 PM

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Haofeng Hu, Enric Garcia-Caurel, Guillaume Anna, François Goudail. Maximum likelihood method for calibration of Mueller polarimeters in reflection configuration. Applied optics, Optical Society of America, 2013, 52, pp.6350. ⟨10.1364/AO.52.006350⟩. ⟨hal-00856515⟩

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