Transmitter individual identification based on local surrounding-line integral bispectrum
Tang Tongwei, Tao Wanglin · 2012
Based on the research of identifying individual radio transmitters with the same model, a novel method for identifying individual radio transmitters with the local surrounding-line integral bispectrum is proposed. The selected spectra and parameters are significant for classification of the received signal from the identification feature vector, and support vector machine based on mixed kernel function is used to realize the individual identification. The experimental results demonstrate that the suggested technique has a recognition rate of 90% in a low signal noise ratio, and it can solve the problem of identifying individual transmitters with the same model and manufacturing lot.