基于大气偏振光特性辅助定向的自主导航方法

Autonomous integrated navigation model based on atmospheric polarization characteristics

  • 摘要: 针对惯性系统(INS)与卫星组合导航容易受到干扰的局限性,为提高海上作战船舰的自主导航能力,提出基于全天域大气偏振光特性辅助定向自主导航方法。在分析全天域偏振光中性点的运动规律的基础上,采用两点一线原理使用中性点确定载体航向角并结合电磁计程仪(LOG)测得的航速信息辅助惯性系统进行导航,采用卡尔曼滤波最优算法对组合导航系统进行了信息融合。matlab仿真结果表明基于全天域偏振光中性点/LOG/INS组合导航方法能够有效抑制INS导航定位误差,使船舰航向角误差稳定在0.6,水平速度误差稳定在0.7 m/s,水平位置误差稳定在10 m,增强了船舰的自主导航性能,并且具有高度的隐蔽性和抗干扰能力,具有一定的军事工程应用价值

     

    Abstract: In order to improve the autonomous navigation capability of the maritime operations ships, an autonomous integrated navigation model based on polarization neutral points of the entire skylight was put forward in view of the limitation of inertial navigation system/global positioning system (INS/GPS) integrated navigation method sensitive to interference. Based on the analysis of movement law of the polarization neutral points of the entire skylight, the polarization neutral points was used to determine the heading angle to aid INS for navigation combing with the speed of information measured by marine electromagnetic log. The Kalman filter was used in integrated navigation system for the information fusion. The Matlab simulation results show that the integrated navigation system can correct the INS navigation parameters errors effectively, which makes the heading angle, horizontal velocity and horizontal position stabilized in 0.6 , 0.7 m/s and 10 m,respectively, and can enhance the autonomous navigation performance of ships,moreover,it has a high degree of concealment and antijamming capability which has certain military engineering application value.

     

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