| 基于正交函数系最小二乘拟合的姿态平滑方法 |
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| 引用本文： | 刘宏建,蔡中祥,刘子义. 基于正交函数系最小二乘拟合的姿态平滑方法[J]. 四川兵工学报, 2017, 0(1). DOI: 10.11809/scbgxb2017.01.005 |
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| 作者姓名： | 刘宏建 蔡中祥 刘子义 |
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| 作者单位： | 信息工程大学地理空间信息学院,郑州,450052 |
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| 基金项目： | 国家自然科学基金项目(41301125) |
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| 摘 要： | 针对高速测控目标姿态数据平滑过程中的微小抖动及处理滞后现象,提出了基于正交函数系最小二乘拟合的姿态数据实时平滑方法,该方法具有平滑效果好、实时性强,基本消除了姿态数据的“抖动”现象,对飞行特性不太平稳的目标适应性较强,在无人机试验中符到了良好的应用.
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| 关 键 词： | 高速测控目标 正交函数系 最小二乘拟合 实时姿态平滑 |
Attitude Smoothing Method Based on Least Square Fitting of Orthogonal Function System |
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| LIU Hong-jian,CAI Zhong-xiang,LIU Zi-yi. Attitude Smoothing Method Based on Least Square Fitting of Orthogonal Function System[J]. , 2017, 0(1). DOI: 10.11809/scbgxb2017.01.005 |
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| Authors: | LIU Hong-jian CAI Zhong-xiang LIU Zi-yi |
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| Abstract: | Aiming at the small jitter and delay processing phenomenon in high speed measurement and control target attitude data smoothing,we put forward a real-time attitude data smoothing method based on least square fitting of orthogonal function system.The method has good effect and real-time performance,basically eliminates the "chattering" phenomenon of attitude data,and gets a good application in UAV test. |
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| Keywords: | high-speed measurement and control target orthogonal function system least squares real time attitude data smoothing |
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