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Statistical recognition method for radar signals modulation
Промышленные АСУ и контроллеры, 2020К методу распознавания частотной модуляции радиолокационного сигнала предъявляется требование инвариантности, обеспечивающее устойчивость принимаемых решений о текущем режиме функционирования локатора. Указанная инвариантность обеспечивается трансформацией временных зависимостей частоты в первичные статистические распределения с использованием ...
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Application of Clustering Methods in Radar Signals Recognition
2018 International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T), 2018One of the most principal function in the electronic intelligence system is gathering information from the entire electromagnetic spectrum and its analysis. The paper presents some aspects of radar signals recognition in electronic intelligence systems by using clustering algorithms. The basic concepts of this technique are described.
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Recognition of PRI Modulation Types of Radar Signals Using the Autocorrelation
IEICE Transactions on Communications, 2007In electronic warfare support systems, the analysis of PRI (Pulse Repetition Interval) modulation characteristics for a radar pulse signal has attracted much interest because of the problem of the identification ambiguity in dense electronic warfare signal environments.
Young-Jin Ryoo +2 more
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Radar Signal Waveform Recognition Based on Convolutional Denoising Autoencoder
2019To solve the problem of the low recognition rate of the existing methods at low signal-to-noise ratio (SNR), we propose a novel method of radar signal waveform recognition. In this method, we extract the time-frequency images (TFIs) of radar signals through Cohen class time frequency distribution. Then, we introduce convolutional denoising autoencoder (
Zhaolei Liu, Xiaojie Mao, Zhian Deng
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Radar Emitter Signal Recognition Based on Resemblance Coefficient Features
2004Resemblance coefficient (RC) feature extraction approach for radar emitter signals was proposed. Definition and properties of RC were given. Feature extraction algorithm based on RC was described in detail and the performances of RC features were also analyzed. Neural network classifiers were designed.
Gexiang Zhang +3 more
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Radar Signal Recognition Method based on Transfer Learning
2023 International Conference on Intelligent Sensing and Industrial Automation, 2023Chenglong Cao +4 more
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Radar Emitter Signal Recognition Based on Feature Selection Algorithm
2004Rough set theory (RST) was introduced into radar emitter signal (RES) recognition A novel approach was proposed to discretize continuous interval valued features and attribute reduction method was used to select the best feature subset from original feature set Also, rough neural network (NN) classifier was designed Experimental results show that the ...
Gexiang Zhang, Laizhao Hu, Weidong Jin
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Radar Signal Recognition Based on PCA And XGBoost
2021 6th International Symposium on Computer and Information Processing Technology (ISCIPT), 2021Zihan Liu, Jiaxue Wang, Wenhao Zhong
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Self-Attention Bi-LSTM Networks for Radar Signal Modulation Recognition
IEEE Transactions on Microwave Theory and Techniques, 2021Shunjun Wei, Qizhe Qu, Xiangfeng Zeng
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