Radiation source signal identification method combining two-domain multi-features

Abstract

The invention belongs to the field of information detection, and particularly relates to a two-domain multi-feature combined radiation source signal identification method, which comprises the following steps of: performing short-time Fourier transform, improved Wigner time-frequency distribution transform and Hilbert-Huang transform on a radiation source signal to obtain three time-frequency feature images; respectively extracting Green single-channel images of the three time-frequency characteristic images, and carrying out channel fusion on the three Green single-channel images to obtain a new characteristic image. According to the invention, a new three-dimensional time-frequency image is obtained by adopting a multi-time-frequency image channel fusion means. The short-time Fourier transform reflects the linear time-frequency characteristic of the signal; the improved Wigner distribution reflects the nonlinear time-frequency characteristics of signals, Hilbert-Huang transform is notrestricted by the Hessian Bourger measurement inaccuracy principle, a good time-frequency resolution is achieved, a new three-dimensional time-frequency image obtained through channel fusion can represent time-frequency information of the signals more comprehensively, and the reliability of the system is improved.

Description

technical field [0001] The invention belongs to the field of information detection, and in particular relates to a radiation source signal identification method combining two domains and multiple features. Background technique [0002] In a complex electromagnetic environment, the party that can obtain more information can gain more opportunities. Accurately identifying the modulation information of the radiation source is an important link in detection and identification. With the increasingly complex electromagnetic environment and modulation methods, the traditional radiation source signal identification technology has been unable to meet the needs of radiation source signal identification in practical applications. Therefore, it is very urgent and meaningful to find a new radiation source signal modulation identification method. . Existing radiation source signal identification includes manual extraction of fixed feature parameters and use of classifiers for identificat...

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