Extraction of a new sorting feature-G feature for radar pulse sequences

A new feature extraction method for radar pulse sequences was presented based on structure function and empirical mode decomposition in this paper using fractal geometry theory and Hilbert-Huang transform theory. The 2-dimension attribute information was constituted with radio frequency and time-of-arrival in this method which analyzed and extracted the periodical change feature - G feature that hides in the radar pulse sequences. The experiment result shows that, by the method, the frequency of the period-change radio frequency signal can be extracted efficiently in the complex pulses environment. A new feature for the signal sorting of interleaved radar pulse sequences is found.