Implementation of CCSDS lossless compression algorithm for geomagnetic data
Long-term geomagnetic data monitoring will generate a huge amount of data, and compression algorithms will be required to reduce the amount of data to save data storage and transmission expenses. To adapt to the application with limited resources, the CCSDS lossless compression algorithm is applied...
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| Vydáno v: | Journal of physics. Conference series Ročník 2387; číslo 1; s. 12039 - 12046 |
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| Jazyk: | angličtina |
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Bristol
IOP Publishing
01.11.2022
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| ISSN: | 1742-6588, 1742-6596 |
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| Abstract | Long-term geomagnetic data monitoring will generate a huge amount of data, and compression algorithms will be required to reduce the amount of data to save data storage and transmission expenses. To adapt to the application with limited resources, the CCSDS lossless compression algorithm is applied to geomagnetic data measurement in our work. This compression algorithm is made up of two parts: a preprocessor and an adaptive entropy coder. In this study, the unit-delay predictor is chosen as the preprocessor based on the properties of the geomagnetic signal, and the adaptive entropy coder chooses a suitable compression algorithm for geomagnetic data. A 14-hour continuous measurement was performed. The results reveal that when the block size is set to 64, the algorithm can obtain a compression ratio in the geomagnetic field of 0.269 to 0.318. Furthermore, the number of chosen encoding options for three-axis magnetic data was counted. |
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| AbstractList | Long-term geomagnetic data monitoring will generate a huge amount of data, and compression algorithms will be required to reduce the amount of data to save data storage and transmission expenses. To adapt to the application with limited resources, the CCSDS lossless compression algorithm is applied to geomagnetic data measurement in our work. This compression algorithm is made up of two parts: a preprocessor and an adaptive entropy coder. In this study, the unit-delay predictor is chosen as the preprocessor based on the properties of the geomagnetic signal, and the adaptive entropy coder chooses a suitable compression algorithm for geomagnetic data. A 14-hour continuous measurement was performed. The results reveal that when the block size is set to 64, the algorithm can obtain a compression ratio in the geomagnetic field of 0.269 to 0.318. Furthermore, the number of chosen encoding options for three-axis magnetic data was counted. |
| Author | Li, Li Huang, Chengbin Zhang, Yue Wang, Jinhua |
| Author_xml | – sequence: 1 givenname: Yue surname: Zhang fullname: Zhang, Yue organization: National Engineering Research Center of Cloud and Network Infrastructure Security ; , China – sequence: 2 givenname: Li surname: Li fullname: Li, Li organization: University of Chinese Academy of Sciences ; , China – sequence: 3 givenname: Chengbin surname: Huang fullname: Huang, Chengbin organization: National Engineering Research Center of Cloud and Network Infrastructure Security ; , China – sequence: 4 givenname: Jinhua surname: Wang fullname: Wang, Jinhua organization: National Engineering Research Center of Cloud and Network Infrastructure Security ; , China |
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| Cites_doi | 10.1029/2019GL082928 10.1109/TIT.1977.1055714 10.1002/j.1538-7305.1948.tb01338.x 10.3390/s7071108 10.1007/s10712-020-09598-1 10.1038/428909a 10.1109/TIT.1978.1055934 10.1147/rd.232.0149 |
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| References_xml | – start-page: 115 year: 2020 ident: JPCS_2387_1_012039bib9 article-title: A Lossless Compression Algorithm Based on Differential and Canonical Huffman Encoding for Spaceborne Magnetic Data[C] – volume: 46 start-page: 5808 year: 2019 ident: JPCS_2387_1_012039bib2 article-title: Marine mineral exploration with controlled source electromagnetics at the TAG hydrothermal field, 26° N Mid-Atlantic Ridge[J] publication-title: Geophysical Research Letters doi: 10.1029/2019GL082928 – year: 2020 ident: JPCS_2387_1_012039bib6 – volume: 23 start-page: 337 year: 1977 ident: JPCS_2387_1_012039bib7 article-title: A Universal Algorithm for Sequential Data Compression publication-title: IEEE Transactions on Information Theory. doi: 10.1109/TIT.1977.1055714 – volume: 27 start-page: 379 year: 1948 ident: JPCS_2387_1_012039bib10 article-title: A mathematical theory of communication publication-title: The Bell system technical journal doi: 10.1002/j.1538-7305.1948.tb01338.x – volume: 7 start-page: 1108 year: 2007 ident: JPCS_2387_1_012039bib4 article-title: Monitoring of ULF (ultra-low-frequency) geomagnetic variations associated with earthquakes[J] publication-title: Sensors doi: 10.3390/s7071108 – volume: 41 start-page: 1611 year: 2020 ident: JPCS_2387_1_012039bib1 article-title: Geomagnetic Field Processes and Their Implications for Space Weather[J] publication-title: Surveys in Geophysics doi: 10.1007/s10712-020-09598-1 – volume: 73 start-page: 1 year: 2021 ident: JPCS_2387_1_012039bib5 article-title: International geomagnetic reference field: the thirteenth generation[J] publication-title: Earth, Planets and Space – volume: 428 start-page: 909 year: 2004 ident: JPCS_2387_1_012039bib3 article-title: Geomagnetic map used in sea-turtle navigation[J] publication-title: Nature doi: 10.1038/428909a – volume: 24 start-page: 530 year: 1978 ident: JPCS_2387_1_012039bib8 article-title: Compression of Individual Sequences via Variable-Rate Coding publication-title: IEEE Transactions on Information Theory. doi: 10.1109/TIT.1978.1055934 – volume: 23 start-page: 149 year: 1979 ident: JPCS_2387_1_012039bib11 article-title: Arithmetic Coding publication-title: IBM J Res Dev. doi: 10.1147/rd.232.0149 – volume: 1 year: 2020 ident: JPCS_2387_1_012039bib12 article-title: C. C. for Space Data Systems publication-title: Lossless Data Compression CCSDS 121.0-B-3 |
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| Title | Implementation of CCSDS lossless compression algorithm for geomagnetic data |
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