Because infra-pulse modulation laws of radar emitter signals reflect directly on signal waveform, a novel approach is presented to extract complexity feature (CF) of radar emitter signals in this paper. The CF including Lempel-Ziv complexity (LZC) and correlation dimension (CD) can measure the complexity and irregularity of radar signals effectively. To show the effectiveness and feasibility of the introduced approach, FC of 10 typical radar emitter signals are extracted in our experimentation. And the results demonstrate that FC has good characteristics of clustering the same radar signals and separating different radar signals, which indicates that FC can simplify the design procedure of classifiers and heighten identification accuracy rate of radar emitter signals greatly.
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