Narrowband Aircraft Targets Feature Extraction and Classification Based on Time-frequency Analysis

ZHAO Yue; CHEN Zhichun; JIU Bo; ZHANG Lei; LIU Hongwei; LI Zhenfang

doi:10.11999/JEIT161204

Volume 39 Issue 9

Sep. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(9): 2225-2231

ZHAO Yue, CHEN Zhichun, JIU Bo, ZHANG Lei, LIU Hongwei, LI Zhenfang. Narrowband Aircraft Targets Feature Extraction and Classification Based on Time-frequency Analysis[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2225-2231. doi: 10.11999/JEIT161204

Citation:

ZHAO Yue, CHEN Zhichun, JIU Bo, ZHANG Lei, LIU Hongwei, LI Zhenfang. Narrowband Aircraft Targets Feature Extraction and Classification Based on Time-frequency Analysis[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2225-2231. doi: 10.11999/JEIT161204

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Narrowband Aircraft Targets Feature Extraction and Classification Based on Time-frequency Analysis

doi: 10.11999/JEIT161204

Funds:

The National Natural Science Foundation of China (61671351), The National Science Fund for Distinguished Young Scholars (61525105)

Received Date: 2016-11-08
Rev Recd Date: 2017-06-05
Publish Date: 2017-09-19

Abstract

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.
- Targets classification,
- Time-frequency analysis,
- Feature extraction,
- Low signal-to-noise ratio,
- Entropy

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References(25)

References

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