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Airborne Integrated Navigation System Based on SINS/GPS/TAN/EOAN

机译:基于SINS / GPS / TAN / EOAN的机载综合导航系统

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摘要

Considering the drawbacks that GPS signal is susceptible to obstacles and TAN becomes useless in some area when without any terrain data or with a featureless terrain field, to realize long-distance and high-precision navigation, a navigation system based on SINS/GPS/TAN/EOAN is presented. When GPS signal is available, GPS is used to correct errors of SINS; when GPS is unavailable, a terrain selection method based on the entropy weighted gray relational decision-making method is use to distinguish terrain into matchable areas and unmatchable areas; then, for the matchable areas, TAN is used to correct errors of SINS, for the unmatchable areas, EOAN is used to correct errors of SINS. The principles of SINS, GPS, TAN, and EOAN are analyzed, the mathematic models of SINS/GPS, SINS/TAN, and SINS/EOAN are constructed, and finally the federated Kalman filter is used to fuse navigation information. Simulation results show that the trajectory of SINS/GPS/TAN/EOAN is close to the ideal one in both matchable area or unmatchable area and whose navigation errors are obviously reduced, which is important for the realization of long-time and high-precision positioning.
机译:考虑到GPS信号易受障碍物和棕褐色的缺点在没有任何地形数据或具有无特色地形领域的某些区域内无用的障碍物,以实现基于SINS / GPS / TAN的导航系统的远程和高精度导航/ eoan被提出。当GPS信号可用时,GPS用于纠正血清的错误;当GPS不可用时,基于熵加权灰色关系决策方法的地形选择方法用于将地形区分成可匹配区域和无与伦比的区域;然后,对于可匹配区域,TAN用于纠正SINS的错误,对于无与伦比的区域,EOAN用于纠正罪的错误。分析了SINS,GPS,TAN和EOAN的原则,构建了SINS / GPS,SINS / TAN和SINS / EOAN的数学模型,最后将联合卡尔曼滤波器用于熔断导航信息。仿真结果表明,SINS / GPS / TAN / EOAN的轨迹靠近匹配区域或无与伦比的区域中的理想领域,其导航误差明显降低,这对于实现长时间和高精度定位是重要的。

著录项

  • 作者

    Junjun Tang; Peijuan Li;

  • 作者单位
  • 年度 2020
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  • 原文格式 PDF
  • 正文语种 eng
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