A Novel Method for Specific Emitter Identification Based on Singular Spectrum Analysis

As wireless platforms grow in popularity and store valuable information, their security becomes increasingly important. Specific emitter identification (SEI) is a novel means of enhancing the security of wireless networks. Thus, an automatic SEI system with good performance is meaningful. In this paper, a novel method for SEI based on singular spectrum analysis (SSA) is proposed. It uses SSA to analyze the transient signals and extract features for identification of mobile phones. A complete identification system is presented and its performance is evaluated by volume experiments, which show that the proposed method is efficient even at a reduced signal to noise ratio.

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