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Linear Covariance Navigation Analysis of Range and Image Measurement Processing for Autonomous Lunar Lander Missions

机译:自主月球着陆任务的距离和图像测量处理的线性协方差导航分析

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Growing interest in autonomous landing on the lunar surface has motivated in-depth studies of the navigation architectures to support such missions. The research presented in this paper extends linear covariance models of terrain-relative navigation architectures to incorporate both image-based measurements to known landmarks and laser range measurements to the lunar surface. The benefit of the range measurements is shown to be significant in reducing relative position and velocity errors in the altitude channel, as compared to an image-only navigation architecture. The range measurements are also shown to reduce the sensitivity of final relative navigation errors to the turn-on time of both image and range measurements, resulting in a more robust system design.
机译:人们对在月球表面自动降落的兴趣日益浓厚,促使人们对导航架构进行深入研究以支持此类任务。本文提出的研究扩展了相对地形导航体系结构的线性协方差模型,以将基于图像的测量值结合到已知的地标中,并将激光距离测量值结合到月球表面。与仅使用图像的导航架构相比,距离测量的优势在减少高度通道中的相对位置和速度误差方面具有显着优势。还显示了距离测量值,可以降低最终相对导航误差对图像和距离测量值的开启时间的敏感性,从而实现更稳健的系统设计。

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