Abstract: Specific emitter identification is the process of identifying or discriminating different emitters based on the radio frequency fingerprints extracted from the received signal. Due to the inherent non-linearities of the power amplifiers of emitters, these features are extracted from the power amplifiers for specific emitter identification. In this paper, we take the 433MHz power amplifier module BLT54A as the research object, eight circuit modules with the same specifications and batches were tested. The experimental contents include S parameters, AM-AM curve, AM-PM curve, input power and output power curve, AM-AM curve when bias voltage is different, AM-PM curve and input power and output power curve. We extract the energy characteristics of the HHT spectrum of the amplifier output signal and recognize it by classifier. The results show that the eight amplifiers can reach 75%. Meanwhile, we evaluate performance of specific emitter identification in several aspects including different signal sample length and different SNR.

Key words: cognitive radio, cooperative spectrum sensing, spectrum sensing data falsification, defense reference