We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Measurement Modeling and Performance Analysis of a Bionic Polarimetric Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered Sunlight.
- Authors
Wan, Zhenhua; Zhao, Kaichun; Cheng, Haoyuan; Fu, Peng
- Abstract
The bionic polarimetric 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 performance analysis method of BPINS that takes into account the geometric and polarization errors of the optical system. Firstly, the key error factors affecting the overall measurement performance of BPINS are investigated, and the Stokes vector-based measurement error model of BPINS is introduced. Secondly, based on its measurement error model, the effect of the error source on the measurement performance of BPINS is quantitatively analyzed using Rayleigh scattering to generate scattered sunlight as a known incident light source. The numerical results show that in angle of E-vector (AoE) measurement, 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; in degree of linear polarization (DoLP) measurement, the grayscale response inconsistency of CMOS has a more significant impact. This finding can accurately guide the subsequent calibration of BPINS, and the quantitative results provide an important theoretical reference for its optimal design.
- Subjects
RAYLEIGH scattering; POLARIMETRY; ERRORS-in-variables models; IMAGE sensors; MEASUREMENT errors; RADARSAT satellites; BIONICS; OPTICAL polarization; NAVIGATION
- Publication
Sensors (14248220), 2024, Vol 24, Issue 2, p498
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s24020498