摘要
提出利用多项式回归算法对飞参记录数据存在的随机量测误差、野点以及数据丢失等现象进行有效的数据预处理,算法在消除量测误差、剔除和补正野点、补充丢失的数据及数据平滑等方面均具有较高的精度和可靠性并已有效地应用在多型飞机飞参记录数据预处理工作中。利用该算法在Matlab环境下对飞参记录的航姿系统俯仰通道部分数据预处理过程进行了仿真。
The flight data which has been recorded in flight data recorder systems（FDRS） is always contaminated by measurement noise, singular values and missing data, which has to be pre-processed. For this pre-processing, an algorithm of polynomial regression which can reduce the measurement noise, correct the singular values and recover the missing data efficaciously is proposed. Meanwhile this algorithm has higher precision and dependability. This method has been applied in the field of data ground pre-processing of FDRS which has been installed in multi-type airplane. This algorithm is used to fitting the data of airplane pitching angle by Matlab program.
出处
《测控技术》
CSCD
2008年第4期21-22,共2页
Measurement & Control Technology
关键词
多项式回归
飞行参数记录系统
数据预处理
野点
polynomial regression
flight data recorder systems
data pre-processing
singular values
