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An Algorithm for Measuring Vibration Frequency of Self-Mixing Interference Signal Based on Fast Fourier Transform

机译:基于快速傅里叶变换的自混合干扰信号振动频率测量算法

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Optical feedback self-mixing interference (OFSMI) technology can be used to measure the micro-vibration of the object. Existing algorithms have problems such as small frequency measurement range, low precision, and unstable under different optical feedback level factors. In order to extract the vibration frequency accurately, this paper proposes a measurement algorithm based on Fast Fourier Transform. By analyzing the frequency domain characteristics of the self-mixing interference signal, the algorithm can accurately extract the vibration frequency of the object from the fundamental spectral component. The spectrum optimization algorithm and filter algorithm effectively reduce the impact of noise and other interference on the measurement results. Finally, the computer simulations and actual vibration measurements are carried out for different vibration frequencies. It is proved that the higher the frequency is, the higher the accuracy is. And the relative deviation can be controlled within 2% when the vibration frequency is higher than 100 Hz.
机译:光学反馈自混合干扰(OFSMI)技术可用于测量对象的微振动。现有算法存在诸如频率测量范围小,精度低以及在不同的光反馈电平因子下不稳定的问题。为了准确地提取振动频率,提出了一种基于快速傅立叶变换的测量算法。通过分析自混合干扰信号的频域特性,该算法可以从基本频谱分量中准确提取出物体的振动频率。频谱优化算法和滤波算法有效降低了噪声和其他干扰对测量结果的影响。最后,针对不同的振动频率进行计算机模拟和实际的振动测量。事实证明,频率越高,精度越高。当振动频率高于100 Hz时,相对偏差可以控制在2%以内。

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