Interference signal identification method based on knowledge graph and Softmax regression

A technology of knowledge graph and interference signal, applied in character and pattern recognition, neural learning method, biological neural network model, etc., can solve the problem of recognition accuracy limitation, and achieve the effect of small training amount, improved recognition performance, and comprehensive recognition.

Active Publication Date: 2021-10-29
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

The performance of the BP neural network is better than that of the decision tree algorithm in the case of low interference-to-signal ratio, but the BP neural network often needs a lot of experiments to select more suitable hyperparameters such as the hidden layer and the number of neurons in the hidden layer. If there are not enough samples, the recognition accuracy will be limited

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  • Interference signal identification method based on knowledge graph and Softmax regression
  • Interference signal identification method based on knowledge graph and Softmax regression
  • Interference signal identification method based on knowledge graph and Softmax regression

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Embodiment Construction

[0038] The present invention is described in further detail now in conjunction with accompanying drawing.

[0039] Such as figure 1 As shown, this embodiment includes the following steps:

[0040] Step 1: For 6 typical interference types: monotone continuous wave interference, broadband comb spectrum interference, chirp interference, pulse interference, narrowband random binary code modulation interference and wideband random binary code modulation interference, extract these interferences respectively There are 6 types of signal energy limit factor, 3dB bandwidth of normalized spectrum, normalized spectrum kurtosis coefficient, standard deviation of normalized spectrum impulse part, time domain peak-to-average ratio and fractional Fourier domain energy concentration difference Characteristic Parameters. By extracting entities, attributes, and attribute values, and according to the triple organization form of "entity-attribute-attribute value", the knowledge map of the inter...

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Abstract

The invention particularly relates to an interference signal identification method based on a knowledge graph and Softmax regression, and the method comprises the steps: building a knowledge graph related to the identification of an interference signal, and embedding the knowledge graph of various interference types into a low-dimensional vector space; the knowledge contained in the knowledge graph is reserved, entities and relations in the knowledge graph are converted into vectors, the knowledge graph serves as priori knowledge to provide auxiliary information for the Softmax regression method, the model training speed is higher, the number of needed samples is smaller, and the recognition performance of interference signals under the low interference-to-signal ratio is further improved.

Description

technical field [0001] The invention belongs to the field of signal identification, and in particular relates to an interference signal identification method based on knowledge graph and Softmax regression. Background technique [0002] The future mobile communication system will be a deep integration and overlapping of integrated networks of ground, sea and air. It is foreseeable that spectrum resources will become increasingly scarce in the future, and wireless communication systems will face various interferences. In addition to natural interference in daily communication channels, there will also be suppressive or clever malicious interference aimed at destabilizing communication systems, and this type of malicious interference is especially common in electronic warfare. [0003] In order to cope with the complicated jamming technology, more intelligent and efficient anti-jamming methods have emerged as the times require. Among the communication methods, there are mainl...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06F16/36G06N3/04G06N3/08
CPCG06F16/367G06N3/04G06N3/084G06F2218/08G06F2218/12G06F18/2415
Inventor 陈宣李怡昊陈金立
Owner NANJING UNIV OF INFORMATION SCI & TECH
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