连续变迎角试验数据自适应分段拟合滤波方法

针对常用的阶梯变迎角数据处理方法处理连续变迎角试验数据时，不能去除低频振动分量的问题，基于试验数据中的近似对称、局部线性等特点，提出一种将数据进行分段二项式拟合的处理方法，并详细论述其基本原理，重点介绍基于方差极小值动态确定数据分段长度的方法。基于测试信号的实验结果表明所提方法可将低频分量信号滤除近70%，有效提高数据处理精度。经标模试验测试验证，所提方法可成功应用于某些试验。 

Self-adaptive piecewise fitting filtering method for test data in continuous sweeping angle of attack

When the traditional step sweeping attack angle data processing method is used for directly processing the test data of continuous sweeping attack angle test, the low-frequency vibration component cannot be removed. Based on the characteristics of approximate symmetry and local linearity in the test data, a piecewise binomial fitting method is presented. Principle of the method is presented, and its minimum variance based piecewise length determination is introduced in details. The experimental results based on the test signal show that the method can filter the low-frequency component signal by nearly 70%, effectively improving the data processing accuracy. The method is also verified by common mode test, and has been successfully applied to some model tests.