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Radar active jamming signal identification method based on recurrence plot and deep learning

A technology of active jamming and signal recognition, applied in the field of radar, which can solve the problems of being unable to perceive radar jamming and relying on manual judgment

Pending Publication Date: 2021-12-07
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

Traditional radar interference identification methods cannot intelligently perceive radar interference, and rely more on manual judgment, which is highly fuzzy and subjective

Method used

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  • Radar active jamming signal identification method based on recurrence plot and deep learning
  • Radar active jamming signal identification method based on recurrence plot and deep learning
  • Radar active jamming signal identification method based on recurrence plot and deep learning

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Embodiment Construction

[0049] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0050] Such as figure 1 As shown, a radar active jamming signal identification method based on recursive graph and deep learning is provided, including the following steps:

[0051]Step S100, simulating the radar active interference signal to obtain various types of interference simulation signals, and constructing an interference simulation signal database according to each interference simulation signal;

[0052] Step S110, using a phase space reconstruction algorithm and a visualization algorithm for each interference simulation signal in the interference simulation si...

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Abstract

The invention relates to a radar active jamming signal identification method based on recurrence plot and deep learning. The method comprises the following steps: constructing a large number of different types of interference simulation signals by adopting a simulation mode, converting each one-dimensional interference simulation signal into a two-dimensional recurrence plot, and training an identification deep neural network by utilizing a large number of two-dimensional recurrence plots, and obtaining a trained identification deep neural network with the capability of identifying the active interference signal of the radar. According to the method, the two-dimensional recursion plot is obtained based on phase-space reconstruction and a visualization algorithm, and the recursion plot is a plot based on a time sequence and is different from the time-frequency plot of more interference signals for identification in the prior art, so that the defect that some types of interference signals cannot be identified is overcome, and by adopting the method, more types of interference signals can be identified.

Description

technical field [0001] This application relates to the field of radar technology, in particular to a radar active interference signal identification method based on recursive graphs and deep learning. Background technique [0002] In recent years, radar jamming technology has been developed rapidly, especially the wide application of jamming technology based on digital radio frequency storage, so that jamming can be modulated and forwarded according to the currently intercepted signal in a very short time, which can generate strong coherence The complex radar active jamming is difficult to be identified and suppressed by radar. Traditional radar jamming identification methods cannot intelligently perceive radar jamming, and rely more on manual judgment, which is highly fuzzy and subjective. Contents of the invention [0003] Based on this, it is necessary to address the above technical problems and provide a radar active jamming signal identification method based on recur...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/36
CPCG01S7/36
Inventor 林俊洁范晓雷
Owner NAT UNIV OF DEFENSE TECH
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