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A New Recognition Method of Radar Emitter Signal
Applied Mechanics and Materials, 2013According to the problem that the existing radar signal recognition method cannot effectively identify the radar signal, a new recognition method based on kernel density estimation is proposed. First using kernel density estimation gets the probability density curve of radar emitter signal parameters, then storing the cures into database as the ...
Fei Ye, Xin Wang, Xing Rong Gao, Jun Luo
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Complexity feature extraction of radar emitter signals
Asia-Pacific Conference on Environmental Electromagnetics, 2003. CEEM 2003. Proceedings., 2003Because the intra-pulse modulation laws of radar emitter signals reflect directly on the signal waveform, a novel approach is presented to extract the complexity features (CFs) of radar emitter signals. CFs, including Lempel-Ziv complexity (LZC) and correlation dimension (CD), can measure the complexity and irregularity of radar signals effectively. To
null Gexiang Zhang +2 more
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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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Over-the-Air Radar Emitter Signal Classification Based on SDR
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP), 2021At present, in the field of radar emitter classification, theoretical simulation is mostly used to carry out algorithm research. However, there are few schemes to study signal classification in real electromagnetic environment using actual hardware. Therefore, this paper proposes a radar emitter classification scheme based on HackRF Software Defined ...
Yan Xia, Zhiyuan Ma, Zhi Huang
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A Novel Feature Extraction Approach for Radar Emitter Signals
2007 2nd IEEE Conference on Industrial Electronics and Applications, 2007Feature extraction is the crucial technology to deinterleave and recognize the new system radar emitter signals. In this paper, a novel time-frequency atom feature extraction approach is presented. Based on the over-complete multiscale dictionary of Gaussian Chirplet atoms, adopting match pursuit (MP) to decompose signals and the improved quantum ...
Zhu Ming +3 more
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Sorting Radar Emitter Signal Based on Wpt6 and Cr1
2009 2nd International Congress on Image and Signal Processing, 2009Sorting rate of common method is not high and it is sensitive to the signal noise ratio (SNR), in order to solve these problems, a novel sorting algorithm for radar emitter is proposed. The Wpt6 and Cr1 is extracted firstly and used as the sorting basis when the unknown radar emitter signal is received, then the radar emitter sorting is realized by the
Zhi-xiang Yang +3 more
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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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A new method for sorting unknown radar emitter signals
2008 9th International Conference on Signal Processing, 2008Sorting unknown radar emitter signals is a difficult and urgent problem need to be addressed for current electronic countermeasures. Based on higher order statistics (HOS), sorting various modulated signals is implemented, and it has the advantage of suppressing Gaussian noise.
null Guowen Yu +2 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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An Evaluation Method on Radar Emitter Signal Recognition Effect Based on SVM
2018 5th International Conference on Systems and Informatics (ICSAI), 2018Radar emitter signal recognition is a key technology in electronic countermeasures and information processing. It is an essential part of scientific evaluation of its recognition effect. Aiming at the shortcomings that the evaluation index on the current radar emitter recognition effect is single, this paper constructs the mean and variance evaluation ...
Jun Han +3 more
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