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Abstract. Specific Emitter Identification (SEI) is the method to identify the individual radio emitter using the transmitted signals' characteristic called Radio Frequency Fingerprint (RFF), which are originated from transmitter imperfections. A novel SEI approach to extract transient fingerprint features of energy envelope of transient signals is proposed in this paper. The origin of energy envelop is explored, and a nonlinear system model is utilized to explain how the features of energy envelope produce. An iterative least squares identification algorithm is proposed to extract the parameters of model, which can be constructed the fingerprint features. Experimental results demonstrate that the method is effective, and the method can be applicable any signal of TDMA system.