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火箭飞行测量数据多分辨率处理研究
Studying of Multiresolutional Data Processing for Measurement Data from Trajectories of Vehicle
【摘要】 为提高火箭飞行测量距离处理精度,建立了基于测量距离的四阶差分动态模型和用于分析测量距离的多分辨率动态模型,利用小波变换在不同分辨率间起的桥梁作用。提出了基于Bar-Shalom公式的测量距离的多传感器多分辨率数据融合的算法,给出了理论弹道加噪声处理的实例。结果表明,提出的多分辨率处理算法较好地解决了火箭飞行弹道测量数据处理精度的问题,与标准Kalman滤波算法相比,误差方差改善了近16%。
【Abstract】 To improve the accuracy of range measurement data from vehicles, a 4th order difference dynamic model based on range measurement data for missile trajectories measurement is proposed. A multiresolutional dynamic model is established for analyzing range measurement data from trajectories of the vehicle. Wavelet transforms are utilized as the bridge linking signals at different resolution. A multi-sensor multiresolutional data fusion algorithm based on Bar-Shalom formula is presented and simulation results are presented. With this algorithm based on data fusion, the measurement data accuracy from vehicle is very good, and the error variance is lowered about 16 % as compared with the standard Kalman Filtering.
【Key words】 trajectories; multi-resoludon; wavelet transform; data fusion; Bar-Shalom formula;
- 【文献出处】 控制工程 ,Control Engineering of China , 编辑部邮箱 ,2005年S2期
- 【分类号】V557;
- 【被引频次】1
- 【下载频次】82