At present, most polarization detectors are based on polarization filtering methods. The principle is that different detection areas only transmit a certain component of polarized light. Stokes parameter reconstruction is achieved by obtaining four or six polarized components of incident light. However, the sensor of this polarization detector can only receive 50% of the incident light energy. To improve the energy utilization of the polarization detector. Based on the flexible modulation capability of the dielectric metasurfaces to phase. We designed a metasurface that can separate incident light by polarization, and then focus the polarization components in different ways. The light energy received by the sensor is only limited by the transmittance of the metasurfaces. The polarization detection metasurface is composed of three metalenses. The numerical simulation result is that the error of Stokes reconstruction parameters is less than 0.03, and the transmission efficiency is higher than 60%. This detection metasurface improves the energy efficiency of traditional polarization detectors. This kind of polarization detection metasurface has great significance to the development of ultra-miniaturization polarization detection systems.
Polarization navigation is an autonomous navigation method that relies on stable polarization patterns in the sky. The polarization sensor for navigation is composed of a CMOS image sensor (CIS) and four-direction metal nanograting. The optical conversion deviation of the CIS and the transmittance deviation of metal nanograting are the main factors affecting the angle measurement accuracy of the polarization sensor. A full-parameter calibration method that can accurately calculate the performance parameters in the Mueller matrix of all pixels is proposed. To reduce the error of the sensor, a mode-based region extraction algorithm that can extract the effective region of the sensor according to the statistical law of these performance parameters is proposed. The experimental results demonstrate that the proposed algorithm can effectively improve the angle measurement accuracy of the sensor. Compared with the single-parameter calibration and the region selection method based on the light intensity graph, the proposed method reduces the angle measurement error by 27.89% and significantly improves the robustness.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.