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为了克服传统快速傅里叶频谱分析方法不适用于非平稳信号的缺点,实现基于全光纤激光干涉微位移信号变化量的精确测量,研究了基于连续小波变换(CWT)非平稳信号分析的相位解调算法。分析了在信号的频带上如何利用小波脊提取数字信号的瞬时特征,并在提取的特征基础上,得到小波脊的相位,完成对信号相位的提取,进而得到物体的位移信息。根据处理方法,进行了理论分析、计算机模拟和相关的验证性实验,对采集的位移干涉信号进行处理得到待测位移量,并与傅里叶变换相位提取方法的测试结果进行了比较分析,证明该方法具有更高的精度,对各种信号处理都具有很强的稳健性。实验结果表明此算法精确度高、复杂度低,具有广泛的应用前景。
In order to overcome the shortcomings that the traditional FFT method is not suitable for non-stationary signals and to realize the accurate measurement of signal variation based on all-fiber laser interferometry micro-displacement, the phase solution based on continuous wavelet transform (CWT) non-stationary signal analysis Adjustment algorithm. Based on the extracted features, the phase of the wavelet ridge is obtained and the phase of the signal is extracted, and the displacement information of the object is obtained. According to the processing method, theoretical analysis, computer simulation and related verification experiments are carried out. The acquired displacement interference signals are processed to obtain the displacement to be measured, and compared with the test results of the Fourier transform phase extraction method, which proves The method has higher accuracy and is robust to various signal processing. Experimental results show that this algorithm has high accuracy, low complexity and wide application prospect.