Results 121 to 130 of about 350 (145)
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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 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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An Improved Method of Radar Emitter Fingerprint Recognition Based on GS-SVM
2019 19th International Symposium on Communications and Information Technologies (ISCIT), 2019Radar emitter recognition is a subject of great importance in modern electronic warfare. To realize radar emitter fingerprint recognition, we propose a method of extracting fingerprint features containing statistic characteristics, carrier frequency and wavelet packet transform (WPT).
Xinyue Wang, Chang Su, Songlin Sun
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Research on Online Learning of Radar Emitter Recognition Based on Hull Vector
2017 IEEE Second International Conference on Data Science in Cyberspace (DSC), 2017In view of the problem that support vector machine classifier learning new knowledge is poor in real time, a new algorithm of radar emitter identification based on hull vector and Parzen window density estimation is studied. The algorithm takes the Parzen window density estimation to eliminate the outliers, and reduces the training time by using the ...
Weigang Zhu, Meng Li, Chuangzhan Zeng
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Radar Emitter Recognition Based on Ambiguity Function Contour Plot
2019 IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT), 2019Aiming at the problem that the radar emitter recognition accuracy is low, the recognition algorithm is complex, an algorithm that recognize radar emitter using ambiguity function contour plot is proposed. A model is set to extract ambiguity function contour plot's PHOW (Pyramid Histogram of Words) and Gist joint descriptor based on complementation of ...
Yuting Zhai +3 more
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A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters
Neural Networks, 2001A neural network recognition and tracking system is proposed for classification of radar pulses in autonomous Electronic Support Measure systems. Radar type information is considered with position-specific information from active emitters in a scene. Type-specific parameters of the input pulse stream are fed to a neural network classifier trained on ...
Eric Granger +3 more
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Radar emitter recognition based on CNN and LSTM
2021 International Conference on Neural Networks, Information and Communication Engineering, 2021Han Liu +3 more
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A Recognition Method For Radar Emitter Signals Based on EEMD and EfficientNet
2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 2020Aiming at the weak representation ability under low signal noise ratio (SNR) in radar emitter signals recognition, a recognition method based on Ensemble Empirical Mode Decomposition (EEMD) noise reduction and EfficientNet is proposed. First, the appropriate EEMD parameters to denoise the time domain signals and Ambiguity Function Contour Map of ...
Bing Luo, Lihua Wu, Yuan Yuan, Rui Lu
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Radar Emitter Signal Recognition Based on Sample Entropy and Fuzzy Entropy
2012Aiming at the problems of the radar emitter signal (RES) recognition based on intra-pulse feature, a novel entropy feature extraction approach is proposed. In this method the sample entropy (SampEn) and fuzzy entropy (FzzyEn) are presented to extract features from RES.
Shiqiang Wang +4 more
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Recognition for Radar Emitter Signals Based on Bispectral Feature Fusion
2022 5th International Conference on Electronics and Electrical Engineering Technology (EEET), 2022Jundi Wang +4 more
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