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

Dan Wang, Zhi Xiong, Fang Chen, Jian-ye Liu
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引用次数: 1

Abstract

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.
INS/SAR组合导航中图像错配点消除及综合算法研究
利用实时SAR图像,通过图像匹配和定位,可以对惯性导航系统的误差进行关键调制。在SAR辅助导航中,不匹配点是不可避免的。在组合导航中,测量异常值会严重影响滤波效果。为了消除配错点的影响,结合SAR图像匹配导航的不连续工作特点,提出了图像配错点消除算法和组合导航算法。建立了具有不连续工作特性的INS/SAR组合导航系统的数学模型。在卡尔曼滤波信息的基础上,设计了消除和置换图像不匹配点的算法。仿真结果表明,本文提出的算法能够有效地消除和置换图像不匹配点,从而大大提高了组合导航的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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