In this paper,we proposed an algorithm using Rényi entropy to distinguish the M-QAM signals.Without requiring any prior knowledge of signal parameters,the proposed method making Wigner-Ville distribution time-frequency transform to signal,then calculate the Rényi entropy,and the last the Dempster-Shafer evidence theory was used to classify the signals.Simulation results show that the proposed method has strong capability for recognition of M-QAM signals in the presence of additive white Gaussian noise(AWGN),and the proposed method has a better recognition effect in the low SNR compared with other QAM signal recognition method.