Separation of noisy multitone signals based on variational mode decomposition
We have observed that Variational Mode Decomposition (VMD) exhibits instability in the denoising and separation of noisy multitone signals. Specifically, minor changes in factors such as signal-to-noise ratio, frequency spacing, sampling rate, and probability distribution can significantly impact th...
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| Published in | Journal of applied physics Vol. 135; no. 10 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Melville
American Institute of Physics
14.03.2024
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| ISSN | 0021-8979 1089-7550 1520-8850 1089-7550 |
| DOI | 10.1063/5.0188377 |
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| Abstract | We have observed that Variational Mode Decomposition (VMD) exhibits instability in the denoising and separation of noisy multitone signals. Specifically, minor changes in factors such as signal-to-noise ratio, frequency spacing, sampling rate, and probability distribution can significantly impact the decomposition results. To address this issue, we have developed the Dual-VMD-correlation algorithm. This algorithm effectively mitigates the impact of beat effects when harmonics of closely spaced frequencies are superimposed, enabling stable denoising of noisy multitone signals and the separation of each individual tone signal. The algorithm holds promise for applications in frequency-modulated continuous wave laser detection. It can address challenges related to denoising laser echo signals interfered with by aerosols and the difficulty in separating backscatter interference from the target reflected signal spectrum. |
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| AbstractList | We have observed that Variational Mode Decomposition (VMD) exhibits instability in the denoising and separation of noisy multitone signals. Specifically, minor changes in factors such as signal-to-noise ratio, frequency spacing, sampling rate, and probability distribution can significantly impact the decomposition results. To address this issue, we have developed the Dual-VMD-correlation algorithm. This algorithm effectively mitigates the impact of beat effects when harmonics of closely spaced frequencies are superimposed, enabling stable denoising of noisy multitone signals and the separation of each individual tone signal. The algorithm holds promise for applications in frequency-modulated continuous wave laser detection. It can address challenges related to denoising laser echo signals interfered with by aerosols and the difficulty in separating backscatter interference from the target reflected signal spectrum. |
| Author | Song, Chengtian Pang, Zhihua Liu, Bohu |
| Author_xml | – sequence: 1 givenname: Zhihua surname: Pang fullname: Pang, Zhihua email: pangzhihuax@126.com organization: School of Mechatronical Engineering, Beijing Institute of Technology, Beijing – sequence: 2 givenname: Chengtian surname: Song fullname: Song, Chengtian email: songct@bit.edu.cn organization: School of Mechatronical Engineering, Beijing Institute of Technology, Beijing – sequence: 3 givenname: Bohu surname: Liu fullname: Liu, Bohu email: lionliu685@hotmail.com organization: Shenyang Institute of Automation, Chinese Academy of Sciences |
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| Snippet | We have observed that Variational Mode Decomposition (VMD) exhibits instability in the denoising and separation of noisy multitone signals. Specifically, minor... |
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| SubjectTerms | Algorithms Continuous wave lasers Decomposition Noise reduction Separation Signal to noise ratio |
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| Title | Separation of noisy multitone signals based on variational mode decomposition |
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