29 June 2018 Influence of noise statistics on optimizing the distribution of integration time for degree of linear polarization polarimetry
Xiaobo Li, Haofeng Hu, Hui Wang, Lan Wu, Tie-Gen Liu
Author Affiliations +
Abstract
The problem of optimizing the distribution of integration time for the degree of linear polarization (DOLP) polarimetry with different types of noise statistics (Gaussian additive, Poisson shot, and gamma speckle) is investigated, in order to decrease the variance of estimator. It is found that if the total integration time of intensity measurements is fixed, the variance of DOLP estimator depends on the distribution of integration time in the presence of Gaussian noise and Poisson shot noise, whereas for the gamma noise, the variance does not depend on the distribution of integration time. We deduce the closed-form solutions of the optimal distribution of the integration time for Gaussian additive and Poisson shot noise within a common theoretical framework. In addition, we investigate the consequence of misjudging the noise statistics, and it is found that the degree of optimization only decays slightly if the noise statistics are misjudged. This characteristic indicates that it is not essential to know the statistics of the noise in advance.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2018/$25.00 © 2018 SPIE
Xiaobo Li, Haofeng Hu, Hui Wang, Lan Wu, and Tie-Gen Liu "Influence of noise statistics on optimizing the distribution of integration time for degree of linear polarization polarimetry," Optical Engineering 57(6), 064110 (29 June 2018). https://doi.org/10.1117/1.OE.57.6.064110
Received: 24 March 2018; Accepted: 12 June 2018; Published: 29 June 2018
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Optimization (mathematics)

Polarimetry

Polarization

Statistical analysis

Speckle

Error analysis

Time metrology

Back to Top