Research on Radio Station Identification Method Based on Combination of Signal Decomposition Optimization and Fractal Processing

In order to better obtain the radio frequency fingerprint of the radio station and realize the effective monitoring, identification and management of the amateur radio station, a HITD-Corr algorithm is proposed in this paper. The algorithm can effectively overcome the problems of signal distortion, end effect and spurious components existing in the ITD algorithm. By combining the algorithm with the box dimension, the radio frequency fingerprint data set is obtained, and then the SVM classifier is used to classify it to realize the identification, classification and management of the radio. The experimental results show that the method has good effectiveness and accuracy.