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Volume 31 Issue 8
Dec.  2010
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Si Xi-cai, Chai Juan-fang. Feature Extraction and Auto-sorting to Envelope Function of Rotation Angle Domain of Radar Signals Based on FRFT[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1892-1897. doi: 10.3724/SP.J.1146.2008.01181
Citation: Si Xi-cai, Chai Juan-fang. Feature Extraction and Auto-sorting to Envelope Function of Rotation Angle Domain of Radar Signals Based on FRFT[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1892-1897. doi: 10.3724/SP.J.1146.2008.01181

Feature Extraction and Auto-sorting to Envelope Function of Rotation Angle Domain of Radar Signals Based on FRFT

doi: 10.3724/SP.J.1146.2008.01181
  • Received Date: 2008-09-22
  • Rev Recd Date: 2009-01-21
  • Publish Date: 2009-08-19
  • A feature vector extraction method to the envelope function in rotation angledomain of radar signals based on FRFT is proposed in this paper, because extracting the novel radar signal parameters is an effective method to solve the complex radar emitter signals sorting and radar target recognition problem. This method searches the envelope function ofdomain through FRFT firstly, extractsvalue corresponding of the peak, peak value and kurtosis of the envelope function to construct a new feature vector as the complement to classical parameters. At the same time, a dynamic cluster sorting method is used to complete the sorting work to radar emitters. A large number of simulation results show that, the new feature vector not only has strong compactness within clusters and large separation between clusters, but also has good anti-noise performance. And the results verify the feasibility and effectiveness of this new feature vector as the complement to classical parameters.
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