Notice of RetractionSimplification of Unscented Kalman Filter for Orbit Object Tracking

R. Cai, Qingxiang Wu, Jiangyong Cai, Jinqing Liu, Meigui Chen
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引用次数: 1

Abstract

Aim at the application of orbit object tracking; we adopt certain simplification technology to UKF (Unscented Kalman Filter), which reduce the computational complexity considerably. The state space equation in orbit object tracking is linear; the sigma sampling in unscented transform can be simplified as a composition-add process; the nonlinear transmit of sigma sampling, state vector, measurement vector and their correlation matrix are simplified by an MSUKF (UKF for Mixing system) algorithm. Experiment result shows that, compare with UKF, the proposed algorithm has the same calculation accuracy with considerable lower computational complexity. The amount of computation of proposed algorithm is only 43.33% of that of the UKF.
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无气味卡尔曼滤波在轨道目标跟踪中的简化
针对轨道目标跟踪的应用;我们对UKF (Unscented卡尔曼滤波器)采用了一定的简化技术,大大降低了计算复杂度。轨道目标跟踪的状态空间方程是线性的;unscented变换中的sigma采样可以简化为一个添加成分的过程;采用MSUKF(混合系统中的UKF)算法对采样、状态向量、测量向量及其相关矩阵的非线性传输进行了简化。实验结果表明,与UKF相比,该算法具有相同的计算精度,且计算复杂度大大降低。本文算法的计算量仅为UKF的43.33%。
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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