Performance Evaluation and Application of particle Filter in Autonomous Celestial Navigation System
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摘要:
针对深空天文自主导航系统性能的评估，提出采用效用函数模型进行评估。这里以MATLAB为仿真平台，以深空探测为仿真背景、地火转移轨道为模型，采用天文测角自主导航，尝试提出一种有效的评估方法，同时将几种常见的粒子滤波算法应用于此模型中，通过数值和图形界面的形式显示不同滤波算法对导航性能的效用，结果表明该评估方法可有效反映和评估不同滤波算法的性能。
Abstract:In order to evaluate the performance of the deep space celestial autonomous navigation system, the utility function model is proposed. This paper adopts MATLAB as a simulation platform, deep space exploration as a simulation background, Earth-Mars transfer orbit as a model, and attempts to propose an effective assessment method in Celestial Autonomous Navigation. At the same time, several common non-linear filtering algorithms will be applied in this model, with the way of numerical and graphical display to show the navigation performance effectiveness of different filtering algorithm. The results show that the evaluation method can reflect and evaluate effectively the performance of different filtering algorithm.
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Key words:
- evaluation method /
- particle filter /
- deep space exploration /
- autonomous navigation
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