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Measurement Modeling and Performance Analysis of a Bionic Polarimetric Imaging Navigation Sensor Using Rayleigh

Zhenhua Wan1, Kaichun Zhao2, Haoyuan Cheng3

  • 1School of Mechanical Engineering, Guangxi University, Nanning 530004, China.

Sensors (Basel, Switzerland)
|January 23, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new measurement error model for bionic polarimetric imaging navigation sensors (BPINS). The model quantifies how optical system errors impact heading accuracy, guiding optimal sensor design and calibration.

Keywords:
Rayleigh scatteringbionic polarizationmeasurement error modelpolarimetric imagingpolarization navigation

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Area of Science:

  • Optics and Photonics
  • Navigation Systems
  • Sensor Technology

Background:

  • Existing bionic polarimetric imaging navigation sensors (BPINS) lack systematic measurement error modeling.
  • Current models often rely on photodiode measurements, not imaging-based data, limiting accuracy.

Purpose of the Study:

  • To propose a comprehensive measurement performance analysis method for BPINS.
  • To investigate key error factors in the optical system affecting BPINS accuracy.
  • To develop a Stokes vector-based measurement error model for BPINS.

Main Methods:

  • Investigated key error factors influencing BPINS measurement performance.
  • Introduced a Stokes vector-based measurement error model.
  • Quantitatively analyzed error source effects using Rayleigh scattering and simulated sunlight.

Main Results:

  • Identified principal point coordinate deviation as a major error source for Angle of E-vector (AoE) measurements.
  • Grayscale response inconsistency of CMOS sensors significantly impacts both AoE and Degree of Linear Polarization (DoLP) measurements.
  • Integration angle error and lens attenuation also affect AoE measurements.

Conclusions:

  • The developed model accurately guides BPINS calibration.
  • Quantitative analysis provides a theoretical basis for optimizing BPINS design.
  • This research enhances the reliability and precision of polarimetric imaging navigation sensors.