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。

To overcome the shortcoming of traditional fast Fourier spectral analysis method that it can′t be applied to the nonstationary signal and can not achieve precise measurement of the micro-displacement variation based on all-fiber laser interference, a discussion on the phase demodulation algorithm using the continuous wavelet transform (CWT) for non-stationary signal is presented. In the frequency domain of the digital signal, the transient characteristics extracting based on the wavelet ridge is analyzed, through which the phase of the wavelet ridge is received. And then the micro-displacement of the object is experimentally obtained. According to the proposed method, the theoretical analysis and the computer simulation are realized. Finally, the micro-displacement variation is obtained from the experimental interference signals by using the method. Comparing with traditional fast Fourier transform (FFT) method, the result of method is of higher accuracy. Experimental results show that the algorithm proposed is of high precision, low complexity, good robustness, and will have a broad prospect of application.