Radar radiation source signal classification and identification method adopting ICGAN and ResNet networks

A technology of signal classification and identification method, applied in the field of digital communication, which can solve the problems of outdated identification requirements, inability to achieve higher efficiency and accuracy, etc., and achieve the effect of low loss rate, superior classification effect, and expanded quantity

Pending Publication Date: 2021-06-15
HANGZHOU DIANZI UNIV
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Problems solved by technology

The traditional signal analysis method is mainly realized through the analysis of conventional parameters such as pulse width and carrier frequency, and then matching the corresponding template. In today's situation where radar technology continues to develop and the electromagnetic environment is increasingly developing, it has been unable to achieve higher efficiency. and accuracy, thus falling far behind the needs of identification

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  • Radar radiation source signal classification and identification method adopting ICGAN and ResNet networks
  • Radar radiation source signal classification and identification method adopting ICGAN and ResNet networks
  • Radar radiation source signal classification and identification method adopting ICGAN and ResNet networks

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Embodiment

[0054] In order to improve the accuracy of generative adversarial network sample generation, an improved conditional generative adversarial network (ICGAN) is proposed here. Based on the traditional Generative Adversarial Network (GAN), ICGAN modifies the input of the discriminant network; the input of the discriminant network is not only real samples and real labels, but also wrong samples and wrong labels as input to participate in iterative training.

[0055] The purpose of the present invention is to address the deficiencies of the existing radar radiation source identification technology. In the case of insufficient samples, accurately extract the signal characteristics of different types of radar radiation sources and use ICGAN to expand the samples, and then use the ResNet network to accurately realize the radar radiation. Discrimination of source signal type.

[0056] (1) Steps to obtain the radar radiation source dataset

[0057] Step 1.1, separate the aliased signal...

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Abstract

The invention relates to a radar radiation source signal classification and identification method adopting an ICGAN and ResNet network, and the method comprises the following steps: 1, receiving aliasing signals through a receiver, separating the aliasing signals, and generating six common radar radiation source signal data sets, and 2, carrying out a signal preprocessing method; 3, constructing an ICGAN, 4, constructing a deep residual network (ResNet), and 5, inputting the test set sample into the ResNet, and outputting a recognition result of radar radiation source signal classification. The method aims to extract different types of radar radiation source signal features under the condition that the number of samples is insufficient, the number of the samples is expanded by utilizing ICGAN, and then the types of the radar radiation source signals are accurately distinguished by utilizing ResNet; the method not only can solve the problem that the number of samples is insufficient, but also can improve the recognition rate of different types of radar radiation source signals.

Description

technical field [0001] The invention belongs to the technical field of digital communication, and in particular relates to a method for classifying and identifying radar radiation source signals using ICGAN and ResNet networks. Background technique [0002] As an important part of electronic technology reconnaissance, the identification of radar emitters has always been a hot research topic in the field of communication countermeasures. Its main process is: measure the radiation source signal received by the receiver, analyze and process it, and identify the individual radar radiation source according to the existing prior information. The traditional signal analysis method is mainly realized through the analysis of conventional parameters such as pulse width and carrier frequency, and then matching the corresponding template. Under the situation of continuous development of radar technology and the development of electromagnetic environment, it has been unable to achieve hi...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06T7/45
CPCG06N3/084G06N3/088G06T7/45G06N3/045G06F2218/08G06F2218/12G06F18/214G06F18/241
Inventor 姜斌程子巍包建荣刘超唐向宏
Owner HANGZHOU DIANZI UNIV
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