自适应陷波器的科氏流量计信号频率跟踪方法

为提高对科氏流量计信号频率随机缓慢变化的持续跟踪能力，提出了一种基于新式ANF的科氏流量计信号频率跟踪方法。针对频率、幅值和相位均按照随机游动模型变化的科氏流量计时变信号模型，采用一种利用Steiglitz-McBrid系统辨识方法发展来的新式ANF对信号进行陷波滤波，快速检测信号频率并持续跟踪信号频率的变化；通过计算机仿真与格型ANF方法的跟踪性能进行了比较分析。仿真及分析结果表明，方法可获得很好的频率跟踪效果，具有收敛速度快、长时间持续跟踪信号频率随机缓慢变化的稳定性和精度更好的特点。

Frequency tracking method and simulation for coriolismass flowmter based on a new adaptive notch filter

In order to improve the long-playing frequency tracking ability in the signal processing for coriolis mass flowmeter (CMF) , a new IIR adaptive notch filter (ANF) is developed via steiglitz-mcBride method (SMM) and applied to filter the sensor output signal whose frequency, amplitude and phase are time-varying following the random walk model. The proposed method can detect the signal frequency fleetly and track the frequency variations continuously. The tracking performances of the proposed method and the adaptive lattice notch filter (LANF) method are investigated with computer simulations. Simulations demonstrate the superiority of the proposed method and show it has advantages of fast convergence rate, insensitivity to initial phase variations, and higher long-playing tracking stability and accuracy than LANF method.