Jia Bin, Xin Ming
Intelligent Fusion Technology, Inc., Germantown, MD 20876, USA.
Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65203, USA.
ISA Trans. 2015 Mar;55:72-80. doi: 10.1016/j.isatra.2014.09.009. Epub 2014 Oct 16.
In this paper, a new Rauch-Tung-Striebel type of nonlinear smoothing method is proposed based on a class of high-degree cubature integration rules. This new class of cubature Kalman smoothers generalizes the conventional third-degree cubature Kalman smoother using the combination of Genz׳s or Mysovskikh׳s high-degree spherical rule with the moment matching based arbitrary-degree radial rule, which considerably improves the estimation accuracy. A target tracking problem is utilized to demonstrate the performance of this new smoother and to compare it with other Gaussian approximation smoothers. It will be shown that this new cubature Kalman smoother enhances the filtering accuracy and outperforms the extended Kalman smoother, the unscented Kalman smoother, and the conventional third-degree cubature Kalman smoother. It also maintains close performance to the Gauss-Hermite quadrature smoother with much less computational cost.
本文基于一类高阶容积积分规则,提出了一种新的Rauch-Tung-Striebel型非线性平滑方法。这类新的容积卡尔曼平滑器通过将根茨(Genz)或米索夫斯基赫(Mysovskikh)的高阶球面规则与基于矩匹配的任意阶径向规则相结合,推广了传统的三阶容积卡尔曼平滑器,从而显著提高了估计精度。利用一个目标跟踪问题来证明这种新平滑器的性能,并将其与其他高斯近似平滑器进行比较。结果表明,这种新的容积卡尔曼平滑器提高了滤波精度,优于扩展卡尔曼平滑器、无迹卡尔曼平滑器和传统的三阶容积卡尔曼平滑器。它还以低得多的计算成本保持了与高斯-埃尔米特求积平滑器相近的性能。