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

A signal identification and radiation source technology, applied in the field of information detection, can solve problems such as low recognition rate and weak generalization ability

Active Publication Date: 2020-05-15
HARBIN ENG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to propose a radiation source signal modulation identification method, which mainly solves the problems of weak generalization ability of existing identification methods and low identification rate under low signal-to-noise ratio under complex electromagnetic environment.

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

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Embodiment Construction

[0121] The present invention will be further described below in conjunction with the accompanying drawings.

[0122] Step 1: Perform short-time Fourier transform on the radiation source signal sig(t) to obtain a time-frequency domain image, and denote the time-frequency domain image as TF 1 . The short-time Fourier transform formula is:

[0123]

[0124] In the formula, e is the Euler number, ζ(τ) is the window function, (·) * Indicates the conjugate operation, t represents time, f represents frequency, and τ is the integral variable.

[0125] Step 2: Perform an improved Wegener time-frequency distribution transformation on the radiation source signal to obtain a time-frequency domain image, and denote the time-frequency domain image as TF 2 . The improved Wegener time-frequency distribution transformation formula is:

[0126]

[0127] In the formula, (·) * Indicates conjugate operation, t is time, f is frequency, φ is frequency shift variable, is the time shift ...

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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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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F2218/08G06F2218/12
Inventor 高敬鹏王旭綦俊炜项建弘郑凯元白锦良秦鹏江志烨
Owner HARBIN ENG UNIV
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