Classification of radar signals using time-frequency transforms and fuzzy clustering

@article{Mingqiu2010ClassificationOR,
  title={Classification of radar signals using time-frequency transforms and fuzzy clustering},
  author={Ren Mingqiu and Cai Jinyan and Zhu Yuanqing},
  journal={2010 International Conference on Microwave and Millimeter Wave Technology},
  year={2010},
  pages={2067-2070}
}
A method based on Smoothness Pseudo Wigner-Ville distribution and kernel principle component analysis is proposed to extract features of radar emitter signals. Then, these discriminative and low dimensional features achieved were fed to the classifier which is designed based on fuzzy Support Vector Machines (SVMs). In simulation experiments, the classification of two-class LFM signals was compared with four kernel functions. And the classifier attains over 83% overall average correct… CONTINUE READING
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