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Small sample radio signal enhancement identification method based on ACGAN

A radio signal and recognition method technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of high cost and small number of marked samples, avoid the disadvantages of manual design of features, save time, The effect of simplifying the process

Inactive Publication Date: 2019-12-20
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0005] In order to overcome the shortcomings of the existing radio data generation methods in the multi-category data occasions that the number is not large and the cost of labeled samples is high, in order to realize the generation of multi-category data with labeled samples, the present invention provides a small-sample radio based on ACGAN Signal Enhancement Identification Method

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  • Small sample radio signal enhancement identification method based on ACGAN
  • Small sample radio signal enhancement identification method based on ACGAN
  • Small sample radio signal enhancement identification method based on ACGAN

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Embodiment Construction

[0031] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0032] refer to Figure 1 to Figure 5 , a small-sample radio signal enhancement recognition method based on ACGAN, the steps are as follows:

[0033] 1) Data preprocessing;

[0034] 1.1) Collect radio signals as sample data:

[0035] The size of each sample in the present invention is [1,512,2], there are 312,000 training sets and 156,000 testing sets. There are twelve modulation methods in this data set, and the signal-to-noise ratio of each modulation method ranges from -20db to 30db. The data in this data set are 521*2 I / Q two-way signals, that is, in-phase and quadrature signals. I is in-phase, Q is quadrature, and the phase difference between Q and I is 90 degrees.

[0036] 1.2) Convert the sample format and divide the data set:

[0037] The original data set is in mat format, first convert it to npy array form...

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Abstract

The invention discloses a small sample radio signal enhancement identification method based on ACGAN. The method comprises the following steps of 1) a data preprocessing stage of converting a sample format, dividing a data set, and carrying out onehot coding on the category of the data to obtain a corresponding category label sequence; and 2) based on a signal enhancement method of a generative adversarial network, adjusting a radio signal sample to a set size, performing pixel normalization on the radio signal sample, setting the initial parameters of each network layer of the deep convolutional network, inputting the training data divided in the step 1) into the deep convolutional network, and training the network; and 3) extracting the features of the training data by using an LSTM network to construct a signal identification classifier, and classifying the test data and the verification data by using the classifier.

Description

technical field [0001] The invention relates to an ACGAN-based small-sample radio signal enhancement recognition method. Background technique [0002] At present, radio signal identification technology has been paid attention to in many fields, such as controlling ships, aircraft, missiles, and detecting illegal drones in the military field; conducting radio remote measurement in the satellite field to obtain meteorological information in the detection area; In the field of networking, infrared detection technology is used to realize digital intelligence and software. [0003] The early signal recognition methods mainly used a variety of instruments combined with manual experience to make judgments, which was costly and inefficient, and the accuracy could not be guaranteed. With the advancement of the times and technology, the current signal recognition technology is mainly divided into two research directions - the recognition method based on maximum likelihood estimates (...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/12G06F18/24G06F18/214
Inventor 陈晋音崔慧郑海斌陈壮志宣琦
Owner ZHEJIANG UNIV OF TECH
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