Ma Hao, Xiong Jian, Guo Hang, Zhong Weisheng, Wang Na. Autonomous integrated navigation model based on atmospheric polarization characteristicsJ. Journal of Applied Optics, 2016, 37(2): 162-167. DOI: 10.5768/JAO201637.0201002
    Citation: Ma Hao, Xiong Jian, Guo Hang, Zhong Weisheng, Wang Na. Autonomous integrated navigation model based on atmospheric polarization characteristicsJ. Journal of Applied Optics, 2016, 37(2): 162-167. DOI: 10.5768/JAO201637.0201002

    Autonomous integrated navigation model based on atmospheric polarization characteristics

    • 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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