Optimization analysis of a Stokes polarimeter for broadband liquid crystal variable retarders under the optimal objective function

Lingying Chang, Jiayi Li, Youbiao Zhang, Yuping Yin, and Jingyi Liu
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Abstract

A liquid crystal variable retarder (LCVR) is the core device to realize fast and high-precision broadband polarization imaging, and its ability to suppress the noise will have an impact on the polarization measurement results. In order to obtain better imaging quality and measurement accuracy, it is crucial to solve the optimization problem of the LCVR. In this paper, the optimal objective function for solving the optimization problem of the LCVR is analytically derived and verified based on the genetic algorithm in the band range of 350–700 nm. Meanwhile, considering that the minimum number of four measurements at this time cannot achieve the optimal state, the relationship between the number of measurements and the overall performance relative to the error propagation (optimized conditions number) is discussed. The results show that a better optimal set of angles can be obtained by using the optimal objective function. In this paper, a set of the most favorable angles is obtained, and the optimized average of the CN is 2.0000, which is reduced by 0.32% compared with previous optimization results and is closer to the ideal value of the CN. In addition, in this paper, the noise immunity of the set of most favorable angles is simulated and analyzed, and the optimized system can effectively improve the measured performance of the wide-band liquid crystal variable retarder polarimeter.
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最佳目标函数下宽带液晶可变缓速器斯托克斯偏振计的优化分析
液晶可变缓速器(LCVR)是实现快速、高精度宽带偏振成像的核心器件,其抑制噪声的能力将对偏振测量结果产生影响。为了获得更好的成像质量和测量精度,解决 LCVR 的优化问题至关重要。本文基于遗传算法,在 350-700 nm 波段范围内分析推导并验证了解决 LCVR 优化问题的最优目标函数。同时,考虑到此时最少四次测量无法达到最优状态,讨论了测量次数与整体性能相对误差传播(优化条件次数)之间的关系。结果表明,利用最优目标函数可以获得一组更好的最优角度。本文获得了一组最有利的角度,优化后的 CN 平均值为 2.0000,与之前的优化结果相比降低了 0.32%,更接近 CN 的理想值。此外,本文还对最有利角度集的抗噪能力进行了仿真分析,优化后的系统能有效提高宽带液晶可变延迟偏振计的测量性能。
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