Radar target track recognition can help a commander to estimate the intention and tasks of the adversary, and facilitate the decision making of the commander. However, little attention has been paid on the radar target track recognition problem. Given the radar target data such as time, distance, direction, and so on, a radar target track recognition based on spatial-temporal relationship of track points is proposed to solve the problem of target track recognition. The algorithm selects the attributes of radar track data and then extracts the space characteristics of the track points in the spatial domain. The algorithm constructs the recursive neural network to capture the characteristics of the track points in the time domain and realize the classification and recognition of the target track. We conduct experiments through simulations, and the simulation results show that the proposed algorithm TRST can effectively improve the target track recognition performance in terms of accuracy, precision, recall and F1-Score.