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Robust Square-Root Cubature Kalman Filtering for Relative Orbit Determination of Non-Cooperative Maneuvering Target

机译:坚固的方形根搭配卡尔曼滤波,用于相对轨道的非合作机动目标的相对轨道测定

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In this paper, a novel-filtering algorithm for the relative orbit determination of non-cooperative maneuvering target is proposed. The algorithm is based on the Strong Tracking Filter (STF) and the Square-root Cubature Kalman Filter (SCKF), called Robust Square-root Cubature Kalman Filter (RSCKF). With the nonlinear orbital dynamics equation as the state model, radar located on the chaser spacecraft as the measurement equipment, the RSCKF is applied for the relative orbit estimation. Simulation results show the superiority of RSCKF over SCKF.
机译:本文提出了一种新的滤波算法,用于相对轨道的相对轨道确定非协作操纵目标。该算法基于强的跟踪滤波器(STF)和Square-Root Cubature Kalman滤波器(SCKF),被称为强大的方形根搭配卡尔曼滤波器(RSCKF)。随着非线性轨道动力学方程作为状态模型,位于追逐航天器的雷达作为测量设备,施加RSCKF用于相对轨道估计。仿真结果显示了SCKF上的RSCKF的优越性。

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