Abstract
Specific emitter identification (SEI) technology uses fingerprint features originated from the emitter imperfections to identify the transmitting devices. However, the fingerprint features used in SEI are subtle and can be easily affected by the distortion of the receivers. This means that the features cannot be used universally among different receivers, which can bring many limits in identification but is rarely concerned in previous studies. To resolve this problem, the effects of receiver distortions on I/Q modulator fingerprints are discussed, and a carrier leakage estimation method for cross-receiver SEI is developed. In the proposed method, joint estimation of carrier leakage and filter distortions is included to eliminate the influence of the receiver. In the simulation and experiment, the performance of the proposed method and the traditional method is compared. The results validate that the proposed method can effectively reduce the feature offset caused by receiver distortions and the proposed method has the same effectiveness as the traditional one. The proposed method can be widely used in cross-receiver specific emitter identification.
Highlights
Specific emitter identification (SEI) is a promising identification technique and can be potentially used in wireless security [1], [2], spectrum-management operations [3], cognitive radio [4] and self-organized networks [5]
This article analyzes the influence of the receiver filter distortions on the existing carrier leakage estimation method and a cross-receiver carrier leakage estimation method is proposed
The effectiveness of the new method is illustrated in the experiment, which shows that the feature offset can be reduced to a very little value and the identification accuracy is improved by up to 10%
Summary
Specific emitter identification (SEI) is a promising identification technique and can be potentially used in wireless security [1], [2], spectrum-management operations [3], cognitive radio [4] and self-organized networks [5]. Comparing two technical categories in SEI, we hold the view that the traditional approaches are more advantageous for cross-receiver identification in some ways This is because the RFF obtained by the mechanism model is artificially designed and have better interpretability, which makes it more beneficial to analyze the impact of receiver distortion. This article analyzes one existing mechanism model and discovers that the receiver distortion can be estimated and processed to reduce its influence on the carrier leakage estimation. According to this discovery, a carrier leakage estimation method for cross-receiver SEI is presented. 2) A mechanism model containing receiver distortions is presented This method can jointly estimate I/Q modulator fingerprints and receiver filter characteristics.
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