Radio frequency fingerprint feature estimation technology based on amplifier nonlinearity
In order to prevent the residual frequency offset caused by the transmitter hardware distortion from affecting the radio frequency(RF)fingerprint features of the power amplifier,a power amplifier radio frequency fingerprint estimation method based on differential processing was proposed.Firstly,the forward structure-based demodulation method was used to preprocess the received signal;Secondly,the point-by-point differential processing was combined with the signal reconstruction to compare the difference between the received differential signal and the reconstructed differential signal.The maximum likelihood estimation and normalization methods were used to realize the extraction of the RF fingerprint features of the power amplifier independent of residual frequency offset;Thirdly,the SVM classifier was used to realize the identification of emitters.Finally,the power amplifier distortion signal model was used for simulation experiments.The results showe that the amplifier fingerprint feature estimation and recognition method based on differential processing can effectively eliminate the feature drift caused by the residual frequency offset,and the recognition accuracy is increased by more than 30 percentage points under the signal-to-noise ratio of 32 dB and the residual frequency offset deviation of±6 Hz,significantly improving the recognition performance.Compared with the traditional method,although the processing steps of differential processing and normalization are added in the proposed method,it is not necessary to accurately estimate the residual frequency offset to eliminate the impact of the residual frequency offset.The proposed method can effectively eliminate the influence of the residual frequency offset in the estimation of radio frequency fingerprint of amplifier,and has certain application value in the specific emitter identification.
parameter estimationspecific emitter identification(SEI)amplifier nonlinear distortiondifferential analysisradio frequency fingerprint(RFF)
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