基于大气偏振光定向的重力辅助惯性导航算法

Atmospheric polarization and gravity aided inertial navigation algorithm

根据重力辅助惯性导航方式对动态重力测量精度的要求,提出利用大气偏振光进行辅助定向的方法。从瑞利散射理论出发,深入研究了大气偏振光的定向机理;设计了惯性/重力/计程仪/偏振光组合导航系统的信息融合方式,建立了扩展卡尔曼滤波模型;构建了仿真验证系统,动态仿真结果表明,偏振光提供的方位信息,有效修正了组合导航系统的航向角误差,航向角精度与传感器测角精度相当;同时,通过重力和计程仪的辅助,显著提高了系统的定位定速精度。基于大气偏振光定向的重力辅助惯性导航方式保证了系统的无源性和抗干扰,增强了系统导航性能,具有重要的应用价值。

According to the dynamic gravity measurement accuracy requirements for the method of gravity aided inertial navigation, the use of atmospheric polarization to determine azimuth was proposed. First, From Rayleigh scattering theory, the atmospheric polarization mechanism was studied. Second, the structure of SINS/Gravity/Log/Polarized-Light integrated navigation system was designed, and an extended Kalman filter was established. Third, the simulation system was realized to inspect and verify the algorithm above. The dynamic simulation results indicate that the system's heading error is effectively corrected by information from polarization sensor, and the heading accuracy is equivalent to that of polarization sensor. Meanwhile, the system's velocity and position accuracy is enhanced obviously assisted by gravity and log. This atmospheric polarization and gravity aided inertial navigation technique can ensure the system's passive resistance and anti-jamming, and effectively strengthen the system's navigation performance.