The Research Of Fusion Algorithm Of Polarization Information Based On Fixed-wing UAV

The polarization navigation is a new technology of bionic navigation. Because the polarization navigation has the advantages of autonomous navigation and anti- interference, its prospects get much attention. At present, UAV navigation technology mostly depends on satellite, there are shortcomings for satellite navigation for the reason of being easily interfered and attacked. In order to ensure UAV navigation has technology with high precision and anti-interference, designing two filtering algorithms that are integrated into the information of polarized light sensor and UAV experimental platform based on Integrated Navigation of polarization, which accumulates the theoretical and experimental basis that makes the polarization navigation apply to the three dimensional space of UAV navigation.This paper analyzes the mechanism of polarization distribution in the sky, and studies how to obtain location information from the sky polarized light. In the meantime, the method of azimuth angle is discussed when polarized light sensor is under the condition of tilt, which provides theoretical basis for the polarized light sensor that applies to the three-dimensional navigation of UAV.Studying the SINS and GPS/INS Integrated Navigation system principles, using Inertial Navigation System TOOLBOX and Matlab to simulate the above algorithms, and using MFC technology to develop SINS simulation interface. On the basis, designing two filtering algorithms that are integrated into the information of polarized light sensor including Centralized Kalman filter algorithm based on polarized light sensor and complementary filtering algorithm based on polarized light sensor. Using Matlab to simulate two filtering algorithms, the results show that all can improve the accuracy of the UAV attitude and meet the requirements of navigation accuracy.In order to study the polarized light sensor on the UAV navigation, designing the UAV test platform based on Integrated Navigation of polarization, analyzing the functional requirements of UAV test platform and completing hardware and software platform to develop experimental UAV. After several tests and debugging, achieving the goal of autonomous flight, and collecting lots of data to verify the feasibility of the theory and experiment based on Integrated Navigation of polarization.