Radio Transmitter Identification Based on Collaborative Representation

Benefiting from the correlation among the samples, a method of radio transmitter identification based on collaborative representation is put forward in this paper. Firstly, we extract the square integral bispectra features to characterise the nuances of radio transmitters in the feature space. Secondly, based on collaborative representation, the sparse coefficient is obtained easily. At last, benefiting from the discrimination information of coefficients, a classifier is constructed for the final radio transmitter identification. On the actual collected dataset from ten FM radios which belong to the same model and manufacturer, the robust identification performances verify the effectiveness of our method.