船用惯性/PLBL/偏振光组合导航算法研究

Zhu Yan-hua, Wei Qi-lu, Liu Ying, Qian Wei-xing
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引用次数: 1

摘要

多普勒测速仪辅助惯导工作模式在舰船上得到了广泛的应用。然而,在这种模式下,系统的位置误差和航向角误差难以校正。为此,通过研究伪长基线声定位算法和大气偏振光定向原理,设计了惯性/PLBL/偏振光组合导航方法。本文建立了惯性/PLBL/偏振光组合导航的扩展卡尔曼滤波模型。建立了半物理仿真系统,对算法和模型进行了验证。结果表明,PLBL提供的距离信息有效地修正了航向角误差,使定位精度保持在4 m以内。偏振光提供的方位角信息有效地修正了系统航向角误差,使航向角与偏振光测角精度匹配良好。惯性/PLBL/偏振光组合导航方法摆脱了对GPS的依赖,提高了导航系统的性能,具有重要的应用价值。
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Research on marine inertial/PLBL/polarized-light integrated navigation algorithm
The inertial navigation working mode with Doppler Velocity Log (DVL) assisted has been frequently used in marine carriers. However, it is difficult to correct the system position error and heading angle error in this mode. Therefore an inertial/PLBL/polarized-light integrated navigation method has been designed by investigating the PLBL (Pseudo Long Base Line) acoustic localization algorithm and the orientation principle of atmospheric polarized light. In this study, we built the extended Kalman filter model of the inertial/PLBL/polarized-light integrated navigation. Then the semi-physical simulation system has been set up to verify the algorithm and the model. The results indicate that the distance information, provided by PLBL, effectively corrects the heading angle error and holds the position accuracy within 4 meter. And the azimuth information, provided by the polarized light, effectively corrects the system heading angle error, and makes the heading angle and the polarized-light-measured angle well-matched in accuracy. The inertial/PLBL/polarized-light integrated navigation method gets rid of the dependence on GPS, improves the performance of the navigation system and has important application value.
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