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| Feature Extraction and Auto-sorting to Envelope Function of Rotation Angle Domain of Radar Signals Based on FRFT |
| Si Xi-cai; Chai Juan-fang |
| College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China |
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Abstract 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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Received: 22 September 2008
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2009, Vol. 31 
