University of Illinois Urbana-Champaign

Analysis of signal-to-noise ratio of angle and degree of linear polarization in division of focal plane polarimeter

Chen, Yingkai

Content Files
CHEN-THESIS-2021.pdf

Permalink

https://hdl.handle.net/2142/110738

Description

Title
Analysis of signal-to-noise ratio of angle and degree of linear polarization in division of focal plane polarimeter
Author(s)
Chen, Yingkai
Issue Date
2021-04-27
Director of Research (if dissertation) or Advisor (if thesis)
Gruev, Viktor
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2021-09-17T02:34:47Z
Keyword(s)
  • Signal-to-noise ratio
  • angle of polarization
  • degree of polarization
Abstract
Recent advancement in nanofabrication technology has led to commercialization of single-chip polarization and color-polarization imaging sensors in the visible spectrum. Novel applications have arisen with the emergence of these sensors leading to questions about noise in the reconstructed polarization images. In this thesis, we provide theoretical analysis for the input and output referred noise for the angle and degree of linear polarization information. We validated our theoretical model with experimental data collected from a division of focal plane polarization sensors. Our data indicates that the noise in the angle of polarization images depends on both incident light intensity and degree of polarization and is independent of the incident angle of polarization. However, noise in degree of linear polarization images depends on all three parameters: incident light intensity, angle of polarization, and degree of polarization. This theoretical model can help guide the development of imaging setups to record optimal polarization information.
Graduation Semester
2021-05
Type of Resource
Thesis
Permalink
http://hdl.handle.net/2142/110738
Copyright and License Information
Copyright 2021 Yingkai Chen

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