基于最小二乘的变采样率超低频正弦扫频信号幅值识别方法

摘要

Aiming at the problem of long signal period, nonstationary and real time amplitude identification of ultra low frequency (0.1~1 Hz) sine sweep signal of shaking table, variety rate sampling method was used to transform the sine sweep signal into standard sinusoidal signal approximately in a very short time. Then use the least square(LS) fitting method to identify the amplitude of the signal in real time. Simulation results show that the method is effective.%针对振动台超低频(0.1~1 Hz)正弦扫频振动信号周期长、非平稳、幅值实时识别困难的问题,采用变采样率的方法将极短时间内的正弦扫频信号近似变成频率恒定的标准正弦信号,结合最小二乘拟合方法,可以有效识别非整周期正弦扫频信号的幅值.仿真结果表明所研究的方法是有效的.