Sorting radar signal based on wavelet characteristics of wigner-ville distribution |
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Authors: | ,
Liang Huadong
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Han Jianghong |
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Affiliation: | 1. School of Computer and Information, Hefei University of Technology, Hefei 230009, China; The 38th Institute of China Electronics Technology Group Corporation, Hefei 230088, China 2. School of Computer and Information, Hefei University of Technology, Hefei 230009, China |
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Abstract: | Common sorting method have low sorting rates and is sensitive to the Signal-to-Noise Ratio (SNR), wavelet characteristics of Wigner-Ville distribution are applied to sort unknown complicated radar signal, high sorting accuracy can be got. The Wigner-Ville distribution of received signal is calculated, then it is predigested to two-dimensional characteristics. Using wavelet transformation to extract characteristics from two-dimensional of Wigner-Ville distribution, the best characteristics are selected to be used as sorting parameters. Experiment results demonstrated that the characteristics of eight typical radar emitter signals extracted by this method showed good performance of noise-resistance and clustering at large-scale SNR. |
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Keywords: | Sorting Wigner-Ville distribution Wavelet Wavelet packet Normative correlation coefficient |
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