Communication protocol signal identification method based on depth residual network

A communication protocol and signal identification technology, applied in modulation type identification, digital transmission systems, electrical components, etc., can solve problems such as subsequent processing of problems affecting classification, lack of probability information, and sensitivity to error boundaries, achieving strong practical application value, identification High accuracy and efficient operation

Active Publication Date: 2019-01-25
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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Problems solved by technology

However, SVM itself has many shortcomings: (1) the support vector is sensitive to the error boundary and is not suitable for large data experiments; (2) due to the lack of necessary probability information, it seriously affects the subsequent processing of classification problems
(3) The selection of kernel function lacks theoretical guidance

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  • Communication protocol signal identification method based on depth residual network
  • Communication protocol signal identification method based on depth residual network
  • Communication protocol signal identification method based on depth residual network

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[0038] The present invention will be further described in detail below in conjunction with the accompanying drawings and technical solutions, and the implementation of the present invention will be described in detail through preferred embodiments, but the implementation of the present invention is not limited thereto.

[0039] Deep Residual Network (ResNet) belongs to the category of Convolutional Neural Network (CNN). It has excellent performance in the field of image processing. When CNN is used, it can effectively overcome the shortcomings of traditional pattern recognition methods based on explicit features (texture direction, boundary line, contour, etc.), implicitly self-learn from training data, and select the best one that reflects the uniqueness of the sample or Exclusive features, strong adaptability and promotion ability. For this reason, embodiment of the present invention, see figure 1 As shown, a communication protocol signal recognition method based on a deep...

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Abstract

The invention belongs to the technical field of radio signal identification, in particular to a communication protocol signal identification method based on a depth residual network. The method comprises the following steps of: performing time-frequency analysis on a communication protocol signal in a sample library, and converting a time-frequency spectrum diagram of the signal into a gray-scaleimage; training The depth residual network model by gray-scale image. The trained depth residual network model is used to detect and identify the specific communication protocol signals trained in thetransmission process. As that depth residual network is applied to the field of communication signal identification, the invention overcomes the defect of high signal quality requirement and high prior information requirement of the traditional method, etc. At low SNR, multipath delay, When Doppler frequency offset and some features of signal are obscured by strong interference noise, Doppler frequency offset can still accurately identify the protocol type, and it does not depend on the prior information of received signal, so it can directly process the received IF signal, and has robust performance and high efficiency, which provides ideas for the subsequent research in this field, and has strong practical application value.

Description

technical field [0001] The invention belongs to the technical field of radio signal identification, in particular to a communication protocol signal identification method based on a deep residual network. Background technique [0002] Shortwave communication protocol identification is an important research topic in the field of shortwave communication countermeasures and cognitive radio. Accurate identification of signal protocols plays an extremely important role in communication interference and target identification. How to accurately identify signal protocols has always been a non-cooperative Research hotspots in the receiver field. [0003] The traditional communication protocol identification method is mainly manual observation time spectrum method. In order to ensure that the signal is not missed, this method requires a large number of experienced professionals to continuously observe the frequency band to which it belongs, resulting in a serious waste of resources. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L27/00
CPCH04L27/0012
Inventor 查雄秦鑫杨司韩彭华许漫坤李广
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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