Channeled spectropolarimetry using iterative reconstruction

Dennis J. Lee; Charles F. LaCasse; Julia M. Craven

doi:10.1117/12.2225172

4 May 2016 Channeled spectropolarimetry using iterative reconstruction

Dennis J. Lee, Charles F. LaCasse, Julia M. Craven

Proceedings Volume 9853, Polarization: Measurement, Analysis, and Remote Sensing XII; 98530V (2016) https://doi.org/10.1117/12.2225172
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

Channeled spectropolarimeters (CSP) measure the polarization state of light as a function of wavelength. Conventional Fourier reconstruction suffers from noise, assumes the channels are band-limited, and requires uniformly spaced samples. To address these problems, we propose an iterative reconstruction algorithm. We develop a mathematical model of CSP measurements and minimize a cost function based on this model. We simulate a measured spectrum using example Stokes parameters, from which we compare conventional Fourier reconstruction and iterative reconstruction. Importantly, our iterative approach can reconstruct signals that contain more bandwidth, an advancement over Fourier reconstruction. Our results also show that iterative reconstruction mitigates noise effects, processes non-uniformly spaced samples without interpolation, and more faithfully recovers the ground truth Stokes parameters. This work offers a significant improvement to Fourier reconstruction for channeled spectropolarimetry.

Citation Download Citation

Dennis J. Lee, Charles F. LaCasse, and Julia M. Craven "Channeled spectropolarimetry using iterative reconstruction", Proc. SPIE 9853, Polarization: Measurement, Analysis, and Remote Sensing XII, 98530V (4 May 2016); https://doi.org/10.1117/12.2225172

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