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The error estimation of X-ray pulsar navigation in circular orbit

机译:圆形轨道X射线脉冲星导航的误差估计

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The posterior covariance matrix of the Kalman filter, whose lower bound is commonly estimated by Posterior Cramer-Rao Bound (PCRB), reflects the accuracy of the filter result. For X-ray Pulsar Navigation (XPNAV) system with linear measurement equations, this paper proves the calculating process of PCRB is the same as iterative calculating the posterior covariance matrix directly. Besides that, this paper estimates the error of XPNAV in circular orbit based on solving Riccati equation by Schur decomposition, which is more efficient and simpler than the iterative algorithm. Simulation results validate the effectiveness of the proposed method.
机译:Kalman滤波器的后协方差矩阵通常通过后验Cramer-Rao边界(PCRB)估计其下界,该值反映了滤波器结果的准确性。对于具有线性测量方程的X射线脉冲星导航(XPNAV)系统,本文证明了PCRB的计算过程与直接迭代计算后协方差矩阵相同。除此之外,本文基于Schur分解求解Riccati方程,估计了圆形轨道XPNAV的误差,比迭代算法更有效,更简单。仿真结果验证了该方法的有效性。

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