The existing human target recognition technology based on the traditional planar electromagnetic wave radar is enabled to realize good results in the face of the classification and recognization of human targets with large gait difference, only a great difficulty remains in the fine recognition of human gait. In this paper, the singlefrequency vortex electromagnetic wave radar (VEMWR) is applied to human gait recognition, and the target information in radar echo is increased by transmitting the vortex electromagnetic wave with orbital angular momentum (OAM), thus improving the ability of human gait fine recognition. A singlefrequency VEMWR echo model of human target is established, and the echo data sets of three kinds of gait are generated by the simulation. Through transforming the echo into the fundamental frequency, the linear Doppler and angular Doppler mixed information are obtained, and then their timefrequency analysis images being input into a convolution neural network model, the classification results are obtained. The simulation results show that compared with the traditional planar electromagnetic wave radar, the use of vortex electromagnetic wave is effective in improving the fine recognition ability of human gait.