Aiming at the classification and recognition of radar jamming signals in complex electromagnetic environment, the time-domain and frequency-domain characteristics of noise jamming, dense false target jamming and combined jamming signals are studied. Comparison and analysis are made to different characteristic parameters, and the parameters with large difference are used to establish the identification feature vectors. Thus a Support Vector Machine (SVM) recognition structure is constructed for classification and recognition in simulation. The results show that, the feature parameters of the recognition structure are easily extracted, and the operation speed is fast, which has a high recognition probability to noise jamming, dense false target jamming and combined jamming, and has a certain application prospect.