The jamming is one of the most important factors in modern wireless communication. More and more attention has been paid to the analysis of jamming signals. In this paper, a novel algorithm for the recognition of jamming signals in wireless communication is proposed. This algorithm is based on the singular value decomposition of the signals' cyclic spectrum density. The cyclic spectrum density is insensitive to Gauss white noise and put up many important signal features. The singular value decomposition method is conducive to decrease the dimensions of cyclic spectrum density function. Simulation results show that the proposed algorithm has a higher recognition rate than the traditional method, especially when the jamming to signal ratio is lower.