The difference in the structure of radar transmitters and the use of electronic devices determine the uniqueness of the radiation source. The emitter individual identification method based on new intelligent feature set is proposed. Firstly, the received signals are transformed in time-domain, frequency-domain, time-frequency domain, polarization domain, and the features are extracted, secondly, the new intelligent feature set of each radiation source is constructed. In order to improve the computing speed and remove redundant information, master feature of the new intelligent feature set are extracted using principal component analysis, and then by choosing the optimal RBF kernel function with support vector machine (SVM), the individual identification is realized. By simulating and verifying the signals of three radiation sources, the radiation source can be characterized uniquely with the new intelligent feature set. Under low SNR, the radiation source individual can be identified quickly and effectively, by simulating the CW,BPSK,LFM signal respectively, more than 85% recognition rate can be reached in more than 3 db SNR, which verifies the validity and feasibility of the method.