Damaged Radar Signal Reconstruction Method Based on Variational Mode Decomposition and Compressed Sensing

Fangzheng LIU; Zhenzhong HAN; Ruiqi ZENG

doi:10.11999/JEIT200219

Volume 43 Issue 6

Jun. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(6): 1644-1652

Wang Yongming, Huang Zailu. THE ANALYSIS OF CELL LOSS RATES IN AN ATM MUX WITH LOSS PRIORITIES[J]. Journal of Electronics & Information Technology, 1997, 19(5): 643-648.

Citation:

Fangzheng LIU, Zhenzhong HAN, Ruiqi ZENG. Damaged Radar Signal Reconstruction Method Based on Variational Mode Decomposition and Compressed Sensing[J]. Journal of Electronics & Information Technology, 2021, 43(6): 1644-1652. doi: 10.11999/JEIT200219

Wang Yongming, Huang Zailu. THE ANALYSIS OF CELL LOSS RATES IN AN ATM MUX WITH LOSS PRIORITIES[J]. Journal of Electronics & Information Technology, 1997, 19(5): 643-648.

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Damaged Radar Signal Reconstruction Method Based on Variational Mode Decomposition and Compressed Sensing

doi: 10.11999/JEIT200219

Institute of Electronic Countermeasure, National University of Defense Technology, Electronic Countermeasure Information Processing Laboratory, Hefei 230037, China

Received Date: 2020-03-27
Rev Recd Date: 2021-01-30

Available Online: 2021-03-17

Publish Date: 2021-06-18

Abstract

Abstract

In view of the problem of data damage in faint radar signals, a radar signal reconstruction method is proposed based on Variational Mode Decomposition and Compressed Sensing (VMD-CS). Firstly, Variational Mode Decomposition is used to degrade and denoise the collected data. Secondly, the observation matrix and sparse representation matrix are constructed by compressed sensing method. Then the sparse representation vector is reconstructed based on the Orthogonal Matching Pursuit (OMP) algorithm. On this basis, the discrete cosine transform is utilized to reconstruct the damaged radar signal. The simulation experiments are carried out on the actual collect Linear Frequency Modulation (LFM) radar signal in two cases of continuous data loss and random data loss. The experimental results show that, the proposed method can well reconstruct the radar signal and approach the original signal accurately in time domain, frequency domain and instantaneous frequency when the continuous data loss rate does not exceed 30% or the random data loss date does not exceed 60%.
- Radar signal reconstruction,
- Weak observation condition,
- Variational Mode Decomposition (VMD),
- Compressed Sensing (CS)

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References(21)

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