Most of the existing channel model verification methods can only verify the first-order statistical characteristics of the fading model, i. e. the amplitude and phase characteristics of the signal envelope. Due to the complexity and diversity of the fading channel model, the existing first-order statistical characteristic verification methods cannot accurately classify the channel model. A comprehensive verification method of Rayleigh fading model is proposed. Firstly, the Rayleigh distribution is verified by the first-order statistical characteristics. Then the Rayleigh fading model is verified by the Doppler power spectrum distribution. The Doppler power spectrum density function of the complex sequence of the fading channel is extracted. The logarithm mean square error (LMSEE) with the theoretical Doppler power spectrum density is calculated, and the type of Doppler power spectrum distribution is determined by LMSEE so as to complete the verification of the given fading channel model. A large number of simulation experiments and physical verification are carried out. The input signal is passed through each fading channel model to get the output signal. The statistical distribution of the output signal is analyzed to verify the recognition performance of common Rayleigh fading models. The experimental results show that the recognition accuracy is more than 98%, which shows the effectiveness of this method.