Results 241 to 250 of about 1,098 (282)

Radar emitter signal recognition based on atomic decomposition

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008
In this paper, a novel approach based on Gaussian Chirplet Atoms is presented to automatically recognise radar emitter signals. Firstly, based on the over-completed dictionary of Gaussian Chirplet atoms, the improved matching pursuit (MP) algorithm is applied to extract the features of the time-frequency atoms from the typical radar emitter signals ...
Ming Zhu, Weidong Jin, Laizhao Hu
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Fractal feature extraction of radar emitter signals

Asia-Pacific Conference on Environmental Electromagnetics, 2003. CEEM 2003. Proceedings., 2003
In this paper, a novel effective approach based on fractal theory is proposed to extract features of radar emitter signals. Box dimension and information dimension are used as classification features to recognize the types of intra-pulse modulation of radar signals.
null Gexiang Zhang, null Weidong Jin, null Laizhao Hu   +2 more
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A novel approach for radar emitter signal recognition

The 2004 IEEE Asia-Pacific Conference on Circuits and Systems, 2004. Proceedings., 2005
To enhance recognition rate of radar emitter signals (RESs) to meet the requirements of modem electronic warfare, a novel approach is proposed to recognize automatically different RESs. The main points of the introduced approach include resemblance coefficient feature extraction and support vector machine classifiers. Experimental results show that the
null Gexiang Zhang, null Laizhao Hu, null Weidong Jin   +2 more
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A New Recognition Method of Radar Emitter Signal

Applied Mechanics and Materials, 2013
According 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., 2003
Because 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, null Laizhao Hu, null Weidong Jin   +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., 2005
Radar 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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GLS: A hybrid deep learning model for radar emitter signal sorting

Digital Signal Processing
Liangang Qi, Shuai Huang, Mykola Kaliuzhnyi   +2 more
exaly   +2 more sources

Over-the-Air Radar Emitter Signal Classification Based on SDR

2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP), 2021
At 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, 2007
Feature 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, Jin Weidong, Pu Yunwei, Hu Laizhao   +3 more
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Sorting Radar Emitter Signal Based on Wpt6 and Cr1

2009 2nd International Congress on Image and Signal Processing, 2009
Sorting 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, Yuan-qing Zhu, Xiao-ning Li, Wei Su   +3 more
openaire   +1 more source