PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Measurement Modeling and Performance Analysis of a Bionic Polarization Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered Sunlight
Version 1
: Received: 3 October 2023 / Approved: 4 October 2023 / Online: 4 October 2023 (10:18:35 CEST)
How to cite:
Wan, Z.; Zhao, K.; Cheng, H.; Fu, P. Measurement Modeling and Performance Analysis of a Bionic Polarization Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered Sunlight. Preprints2023, 2023100229. https://doi.org/10.20944/preprints202310.0229.v1
Wan, Z.; Zhao, K.; Cheng, H.; Fu, P. Measurement Modeling and Performance Analysis of a Bionic Polarization Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered Sunlight. Preprints 2023, 2023100229. https://doi.org/10.20944/preprints202310.0229.v1
Wan, Z.; Zhao, K.; Cheng, H.; Fu, P. Measurement Modeling and Performance Analysis of a Bionic Polarization Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered Sunlight. Preprints2023, 2023100229. https://doi.org/10.20944/preprints202310.0229.v1
APA Style
Wan, Z., Zhao, K., Cheng, H., & Fu, P. (2023). Measurement Modeling and Performance Analysis of a Bionic Polarization Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered Sunlight. Preprints. https://doi.org/10.20944/preprints202310.0229.v1
Chicago/Turabian Style
Wan, Z., Haoyuan Cheng and Peng Fu. 2023 "Measurement Modeling and Performance Analysis of a Bionic Polarization Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered Sunlight" Preprints. https://doi.org/10.20944/preprints202310.0229.v1
Abstract
The bionic polarization imaging navigation sensor (BPINS) is a navigation sensor that provides absolute heading, and it is of practical engineering significance to model the measurement error of BPINS. The existing BPINSs are still modeled using photodiode-based measurements rather than imaging measurements and are not modeled systematically enough. This paper proposes a measurement model of BPINS that takes into account the geometric and polarization errors of the optical system. Firstly, the key error factors affecting the measurement accuracy of BPINS are systematically investigated and the Stokes vector-based measurement error model of BPINS is established. Secondly, based on its measurement error model, the effect of the error source on the measurement performance of BPINS is quantitatively analyzed by using Rayleigh scattering to generate scattered sunlight as a known incident light source. The experimental results show that the coordinate deviation of the principal point has a greater impact, followed by grayscale response inconsistency of CMOS and integration angle error of micro-polarization array, and finally lens attenuation. This finding can guide the subsequent calibration of BPINS, and the quantitative results provide an important reference for its optimal design.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.