Individual radio transmitter identification based on spurious modulation characteristics of signal envelop

This paper introduces a novel and efficient technique to identify individual radio transmitters with the same model and manufacturing lot. The spurious modulation characteristic of individual radio transmitted signal is used to reflect the unique stray features of individual transmitters, and fractal dimensions of individual signal envelop are utilized to extract the identification feature vector. The experiments on FM radio transmitters demonstrate that the suggested technique is more accurate than conventional methods such as high-order moments. Also, the new method is computationally efficient and robust in the presence of excessive noise.