A content-independent method for LFM signal source identification

Linear frequency modulation (LFM) is a spread spectrum modulation technique that does not require pseudo-random coding sequences, and it is widely used in radar and sonar technology. In many applications, it is required to distinguish the source of the signal. The radio frequency fingerprint (RFF) is one of the most promising methods to identify the signal sources because of its uniqueness. In this paper, a novel method of feature extraction is proposed to identify the RFF of LFM signal. The proposed method can provide a new kind of feature of RFF for the recognition with high accuracy. The feature can be extracted from the whole signal without separating transient signals and steady-state signals, and it independents of the content of the signal. The proposed method can provide the recognition accuracy as high as 93.68%.