Results 231 to 240 of about 482 (253)
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Radar emitter signal recognition based on support vector machines
ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004., 2005Radar emitter signal recognition plays an important role in electronic intelligence systems and electronic support measure systems. To heighten accurate recognition rate of radar emitter signals, this paper proposes a hierarchical classifier structure to recognize radar emitter signals. The proposed structure combines resemblance coefficient classifier,
Gexiang Zhang, Weidong Jin, Laizhao Hu
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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 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 emitter signal recognition based on time-frequency analysis
IET International Radar Conference 2013, 2013The extraction of radar emitter identification is very important to distinct the correct target. Up to now, many corresponding methods are proposed. But most of it has the problems of low recognition rate and not adapting to low SNR environment. In the paper, a novel method is proposed. The approach utilizes time-frequency analysis methods and singular
L.B. Yang, B. Xiao, S.S. Zhang
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Journal of Ambient Intelligence and Humanized Computing, 2021
A novel feature extraction method based on the energy cumulant of Choi-Williams distribution has been proposed, which copes with the complex electromagnetic environment and varied signal styles. The energy cumulant of Choi-Williams distribution has been calculated from the accumulations of each frequency sample value with different time samples ...
Pengyu Dong +6 more
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A novel feature extraction method based on the energy cumulant of Choi-Williams distribution has been proposed, which copes with the complex electromagnetic environment and varied signal styles. The energy cumulant of Choi-Williams distribution has been calculated from the accumulations of each frequency sample value with different time samples ...
Pengyu Dong +6 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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A robust radar emitter signals recognition algorithm based on Cauchy random projection
2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015Aimed at the performance decline of conventional radar emitter signals recognition techniques with the presence of noise and impulsive interference, a robust recognition algorithm based on Cauchy random projection is proposed. By virtue of sparse characteristics of impulse system radar and impulsive interference, the more robust l1 norm random ...
Zhiwen Zhou, Gaoming Huang, Jun Gao 0005
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Transactions on Emerging Telecommunications Technologies, 2019
AbstractWith the increase of radar signal modulations and the emergence of new system radars, the receiver will intercept radar signals at the same time. In order to accurately estimate and suppress the signals, this paper proposes an accurate recognition system for radar emitter signals.
Jingpeng Gao, Liangxi Shen, Lipeng Gao
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AbstractWith the increase of radar signal modulations and the emergence of new system radars, the receiver will intercept radar signals at the same time. In order to accurately estimate and suppress the signals, this paper proposes an accurate recognition system for radar emitter signals.
Jingpeng Gao, Liangxi Shen, Lipeng Gao
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Recognition of radar emitter signals using spectrum atoms and Hierarchical Decision Strategy
2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS), 2009An effective approach to recognize the radar emitter signals is presented, which is based on a novel Spectrum atoms and Hierarchical Decision Strategy. Firstly, a new over-complete multi-scale Spectrum atom dictionary is constructed and the improved MP algorithm is applied to extract the features of radar emitter signals, the optimization of atom ...
Ming Zhu, null Kechang Fu, Weidong Jin
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Radar Emitter Signal Recognition Based on Feature Selection and Support Vector Machines
2005One of the intelligent aspects of human beings in pattern recognition is that man identifies an object in real world using Marked Characteristic Principle (MCP). This paper proposes a humanoid recognition method for radar emitter signals. The main points of the method include feature ordering and an improved one-versus-rest multiclass classification ...
Gexiang Zhang +4 more
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