An Ice-Penetrating Signal Denoising Method Based on WOA-VMD-BD
Chang’E-7 will be launched around 2026 to explore resources at the lunar south pole. Glaciers are suitable scenes on the earth for lunar penetrating radar verification. In the verification experiment, ice-penetrating signals are inevitably polluted by noise, affecting the accuracy and reliability of...
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ftmdpi:oai:mdpi.com:/2079-9292/12/7/1658/ 2023-08-20T04:09:52+02:00 An Ice-Penetrating Signal Denoising Method Based on WOA-VMD-BD Danping Lu Shaoxiang Shen Yuxi Li Bo Zhao Xiaojun Liu Guangyou Fang 2023-03-31 application/pdf https://doi.org/10.3390/electronics12071658 EN eng Multidisciplinary Digital Publishing Institute Microwave and Wireless Communications https://dx.doi.org/10.3390/electronics12071658 https://creativecommons.org/licenses/by/4.0/ Electronics; Volume 12; Issue 7; Pages: 1658 ice-penetrating signal VMD WOA BD parameter optimization IMFs denoising Text 2023 ftmdpi https://doi.org/10.3390/electronics12071658 2023-08-01T09:31:25Z Chang’E-7 will be launched around 2026 to explore resources at the lunar south pole. Glaciers are suitable scenes on the earth for lunar penetrating radar verification. In the verification experiment, ice-penetrating signals are inevitably polluted by noise, affecting the accuracy and reliability of glacier detection. This paper proposes a denoising method for ice-penetrating signals based on the combination of whale optimization algorithm (WOA), variational mode decomposition (VMD), and the improved Bhattacharyya distance (BD). Firstly, a fitness function for WOA is established based on permutation entropy (PE), and the number of decomposition modes K and the quadratic penalty factor α in the VMD are optimized using WOA. Then, VMD is performed on the signal to obtain multiple intrinsic mode functions (IMFs). Finally, according to the BD, the relevant IMFs are selected for signal reconstruction and denoising. The simulation results indicate the strengths of this method in enhancing the signal-to-noise ratio (SNR), and its performance is better than empirical mode decomposition (EMD). Experiments on the detected signals of the Mengke Glacier No. 29 indicate that the WOA-VMD-BD method can efficiently eliminate noise from the data and procure well-defined layered profiles of the glacier. The research in this paper helps observe the layered details of the lunar regolith profile and interpret the data in subsequent space exploration missions. Text South pole MDPI Open Access Publishing South Pole Electronics 12 7 1658 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
ice-penetrating signal VMD WOA BD parameter optimization IMFs denoising |
spellingShingle |
ice-penetrating signal VMD WOA BD parameter optimization IMFs denoising Danping Lu Shaoxiang Shen Yuxi Li Bo Zhao Xiaojun Liu Guangyou Fang An Ice-Penetrating Signal Denoising Method Based on WOA-VMD-BD |
topic_facet |
ice-penetrating signal VMD WOA BD parameter optimization IMFs denoising |
description |
Chang’E-7 will be launched around 2026 to explore resources at the lunar south pole. Glaciers are suitable scenes on the earth for lunar penetrating radar verification. In the verification experiment, ice-penetrating signals are inevitably polluted by noise, affecting the accuracy and reliability of glacier detection. This paper proposes a denoising method for ice-penetrating signals based on the combination of whale optimization algorithm (WOA), variational mode decomposition (VMD), and the improved Bhattacharyya distance (BD). Firstly, a fitness function for WOA is established based on permutation entropy (PE), and the number of decomposition modes K and the quadratic penalty factor α in the VMD are optimized using WOA. Then, VMD is performed on the signal to obtain multiple intrinsic mode functions (IMFs). Finally, according to the BD, the relevant IMFs are selected for signal reconstruction and denoising. The simulation results indicate the strengths of this method in enhancing the signal-to-noise ratio (SNR), and its performance is better than empirical mode decomposition (EMD). Experiments on the detected signals of the Mengke Glacier No. 29 indicate that the WOA-VMD-BD method can efficiently eliminate noise from the data and procure well-defined layered profiles of the glacier. The research in this paper helps observe the layered details of the lunar regolith profile and interpret the data in subsequent space exploration missions. |
format |
Text |
author |
Danping Lu Shaoxiang Shen Yuxi Li Bo Zhao Xiaojun Liu Guangyou Fang |
author_facet |
Danping Lu Shaoxiang Shen Yuxi Li Bo Zhao Xiaojun Liu Guangyou Fang |
author_sort |
Danping Lu |
title |
An Ice-Penetrating Signal Denoising Method Based on WOA-VMD-BD |
title_short |
An Ice-Penetrating Signal Denoising Method Based on WOA-VMD-BD |
title_full |
An Ice-Penetrating Signal Denoising Method Based on WOA-VMD-BD |
title_fullStr |
An Ice-Penetrating Signal Denoising Method Based on WOA-VMD-BD |
title_full_unstemmed |
An Ice-Penetrating Signal Denoising Method Based on WOA-VMD-BD |
title_sort |
ice-penetrating signal denoising method based on woa-vmd-bd |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2023 |
url |
https://doi.org/10.3390/electronics12071658 |
geographic |
South Pole |
geographic_facet |
South Pole |
genre |
South pole |
genre_facet |
South pole |
op_source |
Electronics; Volume 12; Issue 7; Pages: 1658 |
op_relation |
Microwave and Wireless Communications https://dx.doi.org/10.3390/electronics12071658 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/electronics12071658 |
container_title |
Electronics |
container_volume |
12 |
container_issue |
7 |
container_start_page |
1658 |
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1774723603363790848 |