A new method for extracting instantaneous frequency feature of emitter signal

Currently, mostly used method for Instantaneous Frequency (IF) feature extraction of radar signal is two-dimensional graph, which is easy for people to distinguish, but not for machines. This article proposes a feature extraction algorithm based on instantaneous frequency of radiation source. Using the statistical change difference of different IF signals, we formulate the classification feature vectors describing the various types of signal pulse modulation laws, according which we do some classification experiments. The experiments prove that instantaneous frequency characteristics of radiation sources can characterize the change difference of different modulation signals and have some anti-noise performance. We are sure that this method can be used in signal sorting, and can be realized in practice.