空间目标跟踪中cd - ekf变离散化分辨率研究

Ashiv Dhondea, A. Mishra, M. Inggs
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引用次数: 1

摘要

空间物体(卫星或空间碎片)跟踪已被确定为空间态势感知的关键组成部分。空间目标跟踪是一个连续离散滤波问题。针对离散-离散滤波问题,提出了传统的扩展卡南滤波(EKF)和无气味卡尔曼滤波(UKF)方法。新版本的EKF最近被设计用于连续离散滤波问题。我们首先讨论了空间目标跟踪问题的动态模型和观测模型,然后在CD-EKF框架中测试了5个滤波器。我们的研究结果表明,对于雷达空间目标跟踪问题,在非常高的离散化分辨率下,离散朗格万方程的解可以得到与基于矩匹配的ekf相当的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of variable discretization resolution for CD-EKFs in space object tracking
Space object (satellite or space debris) tracking has been identified as a key component of Space Situational Awareness. Space object tracking is a continuous-discrete filtering problem. Conventional extended Kahnan filter (EKF) and un-scented Kalman filter (UKF) methods are formulated for discrete-discrete filtering problems. New versions of the EKF have been engineered recently for continuous-discrete filtering problems. We first discuss the dynamic and observation model of the space object tracking problem on which we later on test 5 filters in the CD-EKF framework. Our results show that for the space object tracking problem with radar, solutions which discretize the Langevin equation give results comparable to Moment-Matching based EKFs at very high discretization resolutions.
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