摘要
研究了用于试飞数据预处理的拟合滤波,根据多项式拟合的最小二乘原理,用多项式移动拟合滤波算法处理试飞数据,采用逐点估算最佳拟合阶次的方法,对于变化较缓和变化剧烈的数据,都获得了良好的平滑效果。
Method of polynomial fitting of the flight-test data pre-processing is discussed here.Based on the least square algorithm of fitting of data.when we used moving-polynomial algorithm,the best fitting degree is estimated point by point.Tested by both the steady and violent variety data,we can get a satisfied fitting outcome.
出处
《弹箭与制导学报》
CSCD
北大核心
2005年第SC期799-801,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
数据处理
多项式拟合
移动平滑
data processing
polynomial fitting
moving-polynomial smoother
