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Design of a fixed-interval smoother using covariance information based on the innovations approach in linear discrete-time stochastic systems

机译:基于创新方法的线性离散时间随机系统中使用协方差信息的固定间隔平滑器设计

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摘要

This paper describes a design for a recursive least-squares Wiener fixed-interval smoother using the covariance information in linear discrete-time stochastic systems. The estimators require information from the observation matrix, the system matrix for the state variable, related to the signal, the variance of the state variable, the cross-variance function of the state variable with the observed value and the variance of the white observation noise. It is assumed that the signal is observed with additive white noise.
机译:本文介绍了一种使用线性离散时间随机系统中的协方差信息的递归最小二乘维纳固定间隔平滑器的设计。估计器需要观测矩阵,与信号相关的状态变量的系统矩阵,状态变量的方差,状态变量与观测值的交叉方差函数以及白色观测噪声的方差的信息。假定观察到的信号具有加性白噪声。

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