【摘要】 自适应滤波是在系统建模、参数估计和轨道重构中抑制 Kalman滤波发散问题的最有效方法之一。然而在实际工程中 ,因原始数据质量问题 ,自适应滤波同样存在收敛速度慢甚至于滤波发散问题。提出了对增益矩阵修正的改进型自适应滤波算法 ,有效地克服了滤波发散问题。仿真结果证明 ,本方法是可靠有效的方法。更多还原

【Abstract】 Adaptive Filter is an effective approach to restrain the divergence of Kalman filter in system modeling, parameters estimating, and trajectory rebuilding. But in project, adaptive filter may be converge slowly or even diverge because of the unacceptable quality of the original data. The improved adaptive filter which modifies the plus matrix is proposed here and the divergence of estimation is avoided by this approach. The simulation demonstrates the approach is reliable and effective in project.更多还原