| 引用本文: | 邓自立,张焕水.自校正Kalman滤波、预报、去卷、平滑新方法[J].控制理论与应用,1994,11(2):137~145.[点击复制] |
| DENG Zili,ZHANG Huanshui.A New Approach to Self-Tuning Kalman Filtering Prediction, Deconvolution and Smoothing[J].Control Theory & Applications,1994,11(2):137~145.[点击复制] |
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| 自校正Kalman滤波、预报、去卷、平滑新方法 |
| A New Approach to Self-Tuning Kalman Filtering Prediction, Deconvolution and Smoothing |
| 摘要点击 1550 全文点击 660 投稿时间：1992-06-18 修订日期：1992-12-04 |
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| DOI编号 |
| 1994,11(2):137-145 |
| 中文关键词 稳态最优滤波 自校正滤波 去卷 平滑 白噪声估值器 |
| 英文关键词 steady- state optimal filtering self-tuning filtering deconvolution smoothing white noise estimators |
| 基金项目 |
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| 中文摘要 |
| 本文用现代时间序列分析方法，提出了基于白噪声估值器和输出预报器解决线性离散定常系统稳态最优和自校正Kalman滤波、预报、去卷、平滑问题新方法。此方法可能应用于跟踪系统、信号处理、通讯系统等领域，仿真例子说明了新方法的有效性。 |
| 英文摘要 |
| Using the modern time series analysis method, based on white noise estimators an output predictors, this paper presents a new approach for solving the steady-state optimal and self-tuning Kalman filtering, prediction and smoothing problems of linear discrete time-invariant systems. The new approach can be applied to the tracking systems, signal processing and communication systems. A simulation example shows its usefulness. |
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