自校正α-β跟踪滤波器
A Self-Tuning α-β Tracking Filter
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摘要: 本文用现代时间序列分析方法对雷达跟踪系统提出了一种新的自校正α-β跟踪滤波器, 它有如下优点:1)可处理带未知噪声统计和含未知模型参数的跟踪系统;2)基于ARMA新 息模型的在线辨识,可简单地计算α-β滤波器的参数;3)避免解稳态Riccati方程;4)具有渐 近最优(自校正)性.仿真例子说明了其有效性.
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关键词:
- 雷达跟踪系统 /
- α-β跟踪滤波器 /
- 自校正Kalman滤波器
Abstract: For the radar tracking systems, this paper presents a new self-tuning α-β tracking filter, which has the following advantages: 1) The tracking systems with unknown noise statistics and model parameters can be handled; 2) Ba ed on the on-line identification of ARMA innovation model, the parameters of the α-β filter can simply be calculated; 3) To avoid solving the steady-state Riccati equation, and 4) It has the assymptotically optimal (self-tuning) behaviour. A simulation example shows the usefulness of the proposed results.-
Key words:
- Radar tracking systems /
- α-β tracking filter /
- self-tuning Kalman filter
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