Hu Haofeng, Garcia-Caurel Enric, Anna Guillaume, Goudail François
Appl Opt. 2013 Sep 1;52(25):6350-8. doi: 10.1364/AO.52.006350.
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.
我们探讨了存在噪声情况下穆勒偏振仪的校准问题。我们比较了特征值校准方法（ECM）的一种扩展方法和最大似然（ML）方法。通过在宽带红外偏振仪上进行数值模拟和实际实验，研究了这两种校准方法的性能。结果发现，在校准精度方面，ML方法优于扩展的ECM方法，并且可以在较低信噪比下使用。
