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.
王昕, 高隽, 范之国, 王波, 李逸博. 偏振光导航测角歧义性问题的解决方法[J]. 电子学报, 2014, 42(11): 2184-2190.
WANG Xin, GAO Jun, FAN Zhi-guo, WANG Bo, LI Yi-bo. The Solution to the Problem of the Ambiguity of Angle Calculation in the Polarized Skylight Navigation. Chinese Journal of Electronics, 2014, 42(11): 2184-2190.
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