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Feature Separability Evaluation for Advanced Radar Emitter Signals
2012For the realization of feature separability evaluation for advanced radar emitter signals (RES), the evaluation methods of feature separability of advanced radar emitter signals were proposed based on four kinds of measure. It reflects the within-class aggregation and class separation of the feature clustering through the maximum of within-class ...
Bin Zhu +3 more
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Radar Emitter Signal Fractal Feature Based on Wavelet Transform
2006 CIE International Conference on Radar, 2006Fractal feature can describe the complexity of radar emitter signal. Wavelet transform cannot only observe signal general framework and detail, but also reduce influence of noise. Hence wavelet transform can combine with the fractal theory to study the fractal feature of radar emitter signal.
Ye Fei, Luo Jingqing, Lv Jiuming
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Research of Radar Emitter Signal Model and Clustering Sorting Simulation
2020At present, radar signal sorting has become a necessary radar signal processing step for early warning investigation and electronic countermeasures. The paper analyzes and studies the typical radar signals used in signal sorting. Based on this, the signal simulation and sorting experiments are carried out.
Wang Shiqiang +5 more
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Analysis of Radar Emitter Signal Feature Based on Multifractal Theory
2007 8th International Conference on Electronic Measurement and Instruments, 2007Fractal theory has applied to radar signal analysis, in which fractal dimensions such as Hausdorff dimension, box dimension, information dimension, similarity dimension, correlation dimension and so on always are used to depict the complexity of radar emitter signal.
Ye Fei, Yu Zhifu, Luo Jingqing
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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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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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A Novel Method for Sorting Radar Emitter Signal Based on the Bispectrum
2009 International Conference on Information Engineering and Computer Science, 2009In this paper, a novel sorting algorithm for radar emitter signal is proposed. The bispectrum of received signal is extracted, and it is predigested to two dimensions characteristic. A rectangle pulse sequence and triangle pulse sequence are constructed, then the resemblance coefficient of two dimensions characteristic with rectangle pulse sequence and
Jie Wang, Qiang Shen, Kai-bing Qin
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A novel and efficient approach for automatic classification of radar emitter signals
2013 IEEE Aerospace Conference, 2013Radar emitter signal identification is a special issue of data clustering for classifying unknown radar emitters. In this paper, an efficient approach for automatic classification of radar emitter signals in multisensor systems is proposed. The proposed approach exploits measured features extracted from multiple sensors as well as the sensor accuracies
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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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Radar emitter signal recognition based on coordinated attention
2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), 2022Ding Jiajun, Yan Yunyang, Liu Yian
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