Specific Emitter Identification Based on Transient Energy Trajectory

Speciflc emitter identiflcation (SEI) is the technique which identifles the individual emitter based on the RF flngerprint of signal. Most existing SEI techniques based on the transient RF flngerprint are sensitive to noise and need difierent variables for transient detection and RF flngerprint extraction. This paper proposes a novel SEI technique for the common digital modulation signals, which is robust to Gaussian noise and can avoid the problem that difierent variables are needed for transient detection and RF flngerprint extraction. This makes the technique more practical. The technique works based on the signal's energy trajectory acquired by the fourth order cumulants. A relative smoothness measure detector is used to detect the starting point and endpoint of the transient signal. The polynomial fltting coe-cients of the energy trajectory and transient duration form the RF flngerprint. The principal component analysis (PCA) technique is used to reduce the feature vector's dimension, and a support vector machine (SVM) classifler is used for classiflcation. The signals captured from eight mobile phones are used to test the performance of the technique, and the experimental results demonstrate that it has good performance even at low SNR levels.