To solve the problem of individual identification of distance deception jamming emitters, a new method for individual identification of jamming sources based on envelope front difference characteristics of the individual emitters is proposed. Firstly, the signal is denoised by using a combination of wavelet denoising and sliding window processing. Compared with the denoising processing only using one method, it can obtain better denoising effects. Then, the idea of cross-correlation algorithm is used to realize the position alignment between the received signal and the template signal. Finally, the mean of the difference amplitude of the envelope rising edge is introduced as the characteristic factor, and the classification of individual emitters is realized by using K-means clustering algorithm. The simulation result shows that the proposed method performs better on identification than the included angle cosine algorithm proposed in reference [10].