曲线拟合滤波在无人机导航数据处理中的应用

针对无人机导航数据处理强实时性的要求,提出了一种利用曲线拟合外推法进行数据滤波的方法。该方法基于量测信息连续变化的特点,利用曲线拟合外推法得到量测信息的近似理论值,根据量测信息相对于近似理论值的偏差程度对其进行分类,按提出的数据处理结构模型分别进行滤波。该方法无需量测信息的先验知识,能够准确地获得实时导航信息,并且在小噪声扰动时处于稳定,对于过失误差有较强的鲁棒特性。通过仿真实验证明了该算法的有效性。

Application of curve fitting filtering at data processing of unmanned air vehicle

To study the problem of the real-time data processing in unmanned air vehicle's (UAV) navigation, a data filtering method with curve fitting extrapolation is presented. Based on the continuity of the information changing, the approximation of the real value is attained by curve fitting extrapolation. The measured information is classified by the difference between the value and the approximation and filtered by the presented structure model of the data processing. The method has no need for the transcendental information of measured data and has good real-time characteristic, stability and robustness. The simulation results show the effectiveness of the proposed method and model.