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| Narrowband Aircraft Targets Feature Extraction and Classification Based on Time-frequency Analysis |
| ZHAO Yue①② CHEN Zhichun③ JIU Bo①② ZHANG Lei①② LIU Hongwei①② LI Zhenfang①② |
①(National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China)
②(Collaborative Innovation Center of Information Sensing and Understanding at Xidian University, Xi’an 710071, China)
③(Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China) |
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Abstract A new feature extraction method based on time-frequency analysis is proposed for aircraft targets classification under low signal-to-noise ratio. This method uses the variances of time-domain modulation periods of jet aircraft, propeller aircraft and helicopter to extract the variation of entropy in the time-frequency domain and gives a way to select optimal window lengths. Experimental result based on simulated data and measured data demonstrates that the proposed method can significantly improve the classification probability of aircraft targets under low signal-to-noise ratio.
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Received: 08 November 2016
Published: 30 June 2017
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| Fund:The National Natural Science Foundation of China (61671351), The National Science Fund for Distinguished Young Scholars (61525105) |
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Corresponding Authors:
JIU Bo
E-mail: bojiu@mail.xidian.edu.cn
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