An efficient elliptic curve-based deterministic measurement matrix for micro-seismic data acquisition.
Micro-seismic monitoring plays a critical role in geological disaster prediction. Current compressed sensing approaches for micro-seismic data acquisition, however, are hampered by measurement matrices with high computational complexity and inadequate reconstruction accuracy, particularly in resourc...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0329793 |
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| _version_ | 1849228085221654528 |
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| author | Haiqiang Liu Guangjian Ge Ze Jiang Xiaojing Chen |
| author_facet | Haiqiang Liu Guangjian Ge Ze Jiang Xiaojing Chen |
| author_sort | Haiqiang Liu |
| collection | DOAJ |
| description | Micro-seismic monitoring plays a critical role in geological disaster prediction. Current compressed sensing approaches for micro-seismic data acquisition, however, are hampered by measurement matrices with high computational complexity and inadequate reconstruction accuracy, particularly in resource-constrained sensor networks. To overcome these limitations, we propose an novel deterministic measurement matrix based on elliptic curve pseudo-random sequences. The proposed matrix offers three key advantages: (1) it requires only [Formula: see text] addition operations. (2) it demonstrates lower mutual coherence than existing alternatives. And (3) experimental validation shows consistent performance advantages, achieving lower relative errors than Gaussian random, Chaotic, PEG, and Bernoulli matrices across both noise-free and noisy conditions. These combined improvements in computational efficiency, matrix incoherence, and reconstruction fidelity make our solution ideally suited for real-time micro-seismic monitoring in energy-limited field deployments. |
| format | Article |
| id | doaj-art-67adab5a18ce4e12916987413c0d6a7f |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-67adab5a18ce4e12916987413c0d6a7f2025-08-23T05:32:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01208e032979310.1371/journal.pone.0329793An efficient elliptic curve-based deterministic measurement matrix for micro-seismic data acquisition. Haiqiang LiuGuangjian GeZe JiangXiaojing ChenMicro-seismic monitoring plays a critical role in geological disaster prediction. Current compressed sensing approaches for micro-seismic data acquisition, however, are hampered by measurement matrices with high computational complexity and inadequate reconstruction accuracy, particularly in resource-constrained sensor networks. To overcome these limitations, we propose an novel deterministic measurement matrix based on elliptic curve pseudo-random sequences. The proposed matrix offers three key advantages: (1) it requires only [Formula: see text] addition operations. (2) it demonstrates lower mutual coherence than existing alternatives. And (3) experimental validation shows consistent performance advantages, achieving lower relative errors than Gaussian random, Chaotic, PEG, and Bernoulli matrices across both noise-free and noisy conditions. These combined improvements in computational efficiency, matrix incoherence, and reconstruction fidelity make our solution ideally suited for real-time micro-seismic monitoring in energy-limited field deployments.https://doi.org/10.1371/journal.pone.0329793 |
| spellingShingle | Haiqiang Liu Guangjian Ge Ze Jiang Xiaojing Chen An efficient elliptic curve-based deterministic measurement matrix for micro-seismic data acquisition. PLoS ONE |
| title | An efficient elliptic curve-based deterministic measurement matrix for micro-seismic data acquisition. |
| title_full | An efficient elliptic curve-based deterministic measurement matrix for micro-seismic data acquisition. |
| title_fullStr | An efficient elliptic curve-based deterministic measurement matrix for micro-seismic data acquisition. |
| title_full_unstemmed | An efficient elliptic curve-based deterministic measurement matrix for micro-seismic data acquisition. |
| title_short | An efficient elliptic curve-based deterministic measurement matrix for micro-seismic data acquisition. |
| title_sort | efficient elliptic curve based deterministic measurement matrix for micro seismic data acquisition |
| url | https://doi.org/10.1371/journal.pone.0329793 |
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