天窗
稳健性(进化)
航向(导航)
极化(电化学)
瑞利散射
大气模式
观测误差
计算机科学
遥感
工程类
光学
物理
数学
气象学
航空航天工程
统计
地质学
机械工程
生物化学
化学
物理化学
基因
作者
Guangmin Li,Ya Zhang,Shiwei Fan,Yanyan Wang,Fei Yu
出处
期刊:IEEE Transactions on Instrumentation and Measurement
[Institute of Electrical and Electronics Engineers]
日期:2022-11-28
卷期号:72: 1-11
被引量:16
标识
DOI:10.1109/tim.2022.3225030
摘要
With the advantages of anti-interference and no accumulated error, bionic polarization heading measurement has important military significance and research value for autonomous navigation. However, the heading robustness is seriously affected by the accuracy of the skylight polarization model and the existing methods all use the Rayleigh scattering model without considering atmospheric depolarization. Therefore, this article proposed an innovative method of polarization heading measurement based on the Berry model to consider the influence of depolarization neutral points. And this model is improved by controlling the neutral points with correction coefficients to realize high-robustness heading measurement. On this basis, the improved Berry model is further used to calibrate the sensor parameters outdoors, which separates the skylight polarization model error from the sensor error without expensive instruments and complicated processes and improves the heading measurement accuracy. In the experiments with changing solar altitude, the average heading error STD after field calibration is 20.86% lower than that of the Berry model and 92.85% lower than that of the Rayleigh model, which shows great advancement in actual measurements.
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