自校正Kalman平滑新方法及其在飞行器跟踪方面的应用

应用状态空间方法和现代时间序列分析方法，基于白噪声估值器和输出预报器，提出了解决带输入的线性离散定常系统稳态最优和自校正Ｋａｌｍａｎ平滑新方法，并给出了在飞行器跟踪方面的应用。仿真结果说明了本文结果的实用性和有效性。

A New Approach to Self-Tuning Kalman Smoothing and its Application in Flight Vehicle Tracking System

Using the state space method and the modern time series analysis method1],based on white noise estimators and output predictors, this paper presents a new approach for solving the steady-state optimal self-tuning Kalman smoothing problem of linear discrete time-invariant systems with input and its application in flight vehicle tracking system.The simulation results show its applicability and its usefulness.