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Research on the image mismatching points eliminating and the integrated arithmetic in the INS/SAR integrated navigation

机译:INS / SAR组合导航中图像失配点消除与集成算法研究

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The error of the inertia navigation system can be modulated critically by using the real-time SAR image through image matching and positioning. The mismatching points are inevitable in the SAR aided navigation. In the integrated navigation, the measurement outliers will affect the filter seriously. In order to eliminate the effect of the mismatching points, combining the discontinuous working characteristics of the SAR image matching navigation, the paper proposes the image mismatching points eliminating arithmetic and the integrated navigation arithmetic. We found the mathematical models of the INS/SAR integrated navigation system which has the discontinuous working characteristics. And basing on the Kalman filtering information we design the arithmetic to eliminate and displace the image mismatching points. The simulation indicates the arithmetic proposed in this paper can eliminate and displace the image mismatching points availably and consequently improves the accuracy of the integrated navigation greatly.
机译:惯性导航系统的误差可以通过图像匹配和定位使用实时SAR图像进行关键调制。在SAR辅助导航中,失配点是不可避免的。在集成导航中,测量异常值将严重影响滤波器。为了消除失配点的影响,结合SAR图像匹配导航的不连续工作特性,提出了图像失配点消除算法和集成导航算法。我们发现了具有不连续工作特性的INS / SAR组合导航系统的数学模型。并且基于卡尔曼滤波信息,我们设计了消除和置换图像失配点的算法。仿真结果表明,本文提出的算法可以有效地消除和置换图像失配点,从而大大提高了组合导航的精度。

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