Time-frequency Analysis Method Based on Multi-scale Chirplet Sparse Decomposition and Wigner-Ville Transform

ZHANG Tianqi; QUAN Shengrong; QIANG Xingzi; JIANG Xiaolei

doi:10.11999/JEIT160750

Volume 39 Issue 6

Jun. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(6): 1333-1339

ZHANG Tianqi, QUAN Shengrong, QIANG Xingzi, JIANG Xiaolei. Time-frequency Analysis Method Based on Multi-scale Chirplet Sparse Decomposition and Wigner-Ville Transform[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1333-1339. doi: 10.11999/JEIT160750

Citation:

ZHANG Tianqi, QUAN Shengrong, QIANG Xingzi, JIANG Xiaolei. Time-frequency Analysis Method Based on Multi-scale Chirplet Sparse Decomposition and Wigner-Ville Transform[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1333-1339. doi: 10.11999/JEIT160750

Citation:

ZHANG Tianqi, QUAN Shengrong, QIANG Xingzi, JIANG Xiaolei. Time-frequency Analysis Method Based on Multi-scale Chirplet Sparse Decomposition and Wigner-Ville Transform[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1333-1339. doi: 10.11999/JEIT160750

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Time-frequency Analysis Method Based on Multi-scale Chirplet Sparse Decomposition and Wigner-Ville Transform

doi: 10.11999/JEIT160750

Funds:

The National Natural Science Foundation of China (61671095, 61371164, 61275099), The Project of Key Laboratory of Signal and Information Processing of Chongqing (CSTC2009CA2003), The Research Project of Chongqing Educational Commission (KJ130524, KJ1600427, KJ1600429)

Received Date: 2016-07-14
Rev Recd Date: 2017-03-30
Publish Date: 2017-06-19

Abstract

Abstract

To solve the problem of time-frequency interference existing in the multicomponent Polynomial Phase Signal (mc-PPS) Wigner-Ville distribution, a new time-frequency analysis method based on the multi-scale Chirplet sparse decomposition and Wigner-Ville transform is proposed. This method projects mc-PPS onto the multi-scale Chirplet base functions, searching best base functions by the improved FRactional Fourier Transform (FRFT). Through the Wigner-Ville transform and best path pursuit algorithm, the base functions constitute largest energy signals component and power distribution in turns. Simulation results verify that the proposed method can restrain effectively the cross-interference of constant mc-PPS in low Signal-to-Noise Ratio condition, maintain a high time-frequency aggregation, and overcome the large computation of global searching algorithm. Furthermore, this method is suitable for non-stationary signals analysis and processing.
- Multi-scale Chirplet,
- Wigner-Ville transform,
- FRactional Fourier Transform (FRFT),
- Time-frequency interference,
- Signal-to-Noise Ratio

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References(21)

References

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