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Volume 44 Issue 2
Feb.  2022
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QIU Jing, OU Jindong, XIE Dong, WANG Zheng, DU Jiezhuo. A Similarity Measurement Method for Magnetic Anomaly Signal under Low Signal-to-Noise Based on Orthogonal Basis Function–Edit Distance[J]. Journal of Electronics & Information Technology, 2022, 44(2): 745-753. doi: 10.11999/JEIT210029
Citation: QIU Jing, OU Jindong, XIE Dong, WANG Zheng, DU Jiezhuo. A Similarity Measurement Method for Magnetic Anomaly Signal under Low Signal-to-Noise Based on Orthogonal Basis Function–Edit Distance[J]. Journal of Electronics & Information Technology, 2022, 44(2): 745-753. doi: 10.11999/JEIT210029

A Similarity Measurement Method for Magnetic Anomaly Signal under Low Signal-to-Noise Based on Orthogonal Basis Function–Edit Distance

doi: 10.11999/JEIT210029
Funds:  The National Natural Science Foundation of China (51775070), The Fundamental Research Funds for the Central Universities (2019CDJGFGD002)
  • Received Date: 2021-01-08
  • Rev Recd Date: 2021-06-24
  • Available Online: 2021-07-07
  • Publish Date: 2022-02-25
  • Considering the problem that the similarity of magnetic anomaly signals is difficult to measure under low signal-to-noise ratio, a similarity measurement method OBF-EDR based on the combination of Orthogonal Basis Function (OBF) decomposition and Edit Distance on Real sequence (EDR) is proposed. This method obtains discrete basis function coefficients by decomposing the magnetic anomaly signals with orthogonal basis functions method. The signal-to-Noise Ratio (SNR) of discrete basis function coefficients is improved due to the uncorrelated characteristics of background noise and basis functions. EDR is used to measure the discrete coefficients of the basis function so as to measure indirectly the similarity of the magnetic anomaly signals. The simulation test shows that the OBF-EDR method can measure the similarity of magnetic anomaly signals at a lower SNR than the EDR algorithm.
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