Radio Transmitter Fingerprint Identification Using a Novel Method of Weighted Multi-feature Joint Detection Algorithm

Abstract

Radio transmitter identification is a technology used to identify the target transmitter by the subtle characters marked the individual transmitter. However, how to extract some characteristics from a transmitter and how to use the relation between different characters to identify the transmitters is very difficult task in the radio transmitter identification. In order to overcome the deficiencies based on single character in the traditional method which has a low correct recognition rate, a novel classification method based on multi-feature joint detection for radio transmitter identification is proposed in this paper. This method has remarkably improved the correct recognition rate, and its rationality and validity can be shown by the simulation results.