The Solution to the Problem of the Ambiguity of Angle Calculation in the Polarized Skylight Navigation

WANG Xin; GAO Jun; FAN Zhi-guo; WANG Bo; LI Yi-bo

doi:10.3969/j.issn.0372-2112.2014.11.009

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The Solution to the Problem of the Ambiguity of Angle Calculation in the Polarized Skylight Navigation

更新时间：2025-07-16

- The Solution to the Problem of the Ambiguity of Angle Calculation in the Polarized Skylight Navigation
- Acta Electronica Sinica Vol. 42, Issue 11, Pages: 2184-2190(2014)
- 作者机构：
  
  合肥工业大学计算机与信息学院,安徽,合肥,230009
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61102153, No.61271121);Youth Foundation of Anhui Province (No.11040606Q41)
- DOI：10.3969/j.issn.0372-2112.2014.11.009
  CLC： TP391
- Published：2014
- 稿件说明：
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WANG Xin, GAO Jun, FAN Zhi-guo, et al. The Solution to the Problem of the Ambiguity of Angle Calculation in the Polarized Skylight Navigation[J]. Acta Electronica Sinica, 2014, 42(11): 2184-2190.
DOI：

WANG Xin, GAO Jun, FAN Zhi-guo, et al. The Solution to the Problem of the Ambiguity of Angle Calculation in the Polarized Skylight Navigation[J]. Acta Electronica Sinica, 2014, 42(11): 2184-2190. DOI： 10.3969/j.issn.0372-2112.2014.11.009.

摘要

本文针对偏振光导航中传感器的仿沙蚁POL-neuron模型在获取航向角时存在的角度歧义性问题

根据大气偏振模式中偏振度分布不均匀的规律

提出了一种利用三个偏振通道和一个非偏振通道进行偏振光测角的PFAC模型

通过判断函数和不同天空区域偏振度的大小关系将POL-neuron模型的有效测角范围从[-45

45]扩展到[0

360].本文描述了PFAC模型的信号处理过程

进行了传感器实测数据的分析与处理

理论和实测结果表明该模型可以解决POL-neuron模型存在的测角歧义性

为偏振光导航传感器实现360范围内的航向角获取提供了一种有效的解决方法.

Abstract

To solve the problem of the ambiguity of angle measurement in the existing signal processing method of POL-neuron model

the PFAC polarization information processing model based on the uneven distribution of the polarization intensity in the atmospheric polarization pattern is proposed

which has three polarization channels and one un-polarization channel.The effective angle measurement range can be increased from[-45

45]to[0

360]by judging functions and the comparison of polarization intensity in different sky regions.Detailed theoretical description of the PFAC calculation model and the analysis of the measured data are presented in this paper

the result demonstrates that this improved model can solve the ambiguity of POL-neuron model in angle measurement effectively

PFAC model provides an effective solution for angle distinction within the range of[0

360]in polarized skylight navigation.

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