The present invention belongs to the technical field of
radar emitter identifications, in particular to a
radar emitter sorting and identification method and apparatus based on multiple synchronous compressive transformations. The method comprises: obtaining a time-frequency image of a
radar emitter
signal through multiple synchronous compressive transformations; preprocessing the time-frequency image and extracting a texture characteristic and a moment characteristic of the time-frequency image and building a characteristic parameter set by combining a
signal power spectrum parameter characteristic with a square spectrum complexity characteristic; and regarding the characteristic parameter set, sorting and identifying the
signal with a
support vector machine (SVM) sorter. The present invention solves the problems of a low rate in sorting and identifying the radar signal,
high complexity and the like, under a condition of a currently low
signal to noise ratio, such that different modulation types of
radar signals can be identified accurately under the condition of the low
signal to noise ratio. Further, the present invention has the advantages of good identification effect, high efficiency and good anti-
noise property for complexly modulated types of
radar signals as well as strong ability of adapting to a change in a parameter of the signal. Therefore, high identification performance can also be achieved under a
small sample size, such that it has a certain value of being applied to a project.