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。%To solve the problem of the ambiguity of angle measurement in the existing signal processing method of POL-neu-ron 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 in-tensity 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 .
展开▼
