Research on a Time Difference Processing Method for RTD-Fluxgate Data Based on the Combination of the Mahalanobis Distance and Group Covariance
During the measurement of magnetic fields, Residence Time Difference (RTD)-fluxgate sensors suffer from abnormal time difference jumps due to the random interference of magnetic core noise and environmental noise, which results in gross errors. This situation restricts the improvement of sensor accu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/22/9223 |
| _version_ | 1797457791116378112 |
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| author | Na Pang Dan Wang Yuhan Yang Rui Wang |
| author_facet | Na Pang Dan Wang Yuhan Yang Rui Wang |
| author_sort | Na Pang |
| collection | DOAJ |
| description | During the measurement of magnetic fields, Residence Time Difference (RTD)-fluxgate sensors suffer from abnormal time difference jumps due to the random interference of magnetic core noise and environmental noise, which results in gross errors. This situation restricts the improvement of sensor accuracy and stability. In order to solve the above problems efficiently, a time difference gross error processing method based on the combination of the Mahalanobis distance (MD) and group covariance is presented in this paper, and the processing effects of different methods are compared and analyzed. The results of the simulation and experiment indicate that the proposed method is more advantageous in identifying the gross error in time difference. The signal-to-noise ratio for the time difference is improved by about 34 times, while the fluctuation of the Negative Magnetic Saturation Time (NMST) Δ<i>T</i><sub>NMST</sub> is reduced by 95.402%, which significantly reduces the fluctuation of time difference and effectively improves the accuracy and stability of the sensor. |
| first_indexed | 2024-03-09T16:28:02Z |
| format | Article |
| id | doaj.art-fa3b488c0d7e472ba9e11b11f63bd62a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T16:28:02Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-fa3b488c0d7e472ba9e11b11f63bd62a2023-11-24T15:05:48ZengMDPI AGSensors1424-82202023-11-012322922310.3390/s23229223Research on a Time Difference Processing Method for RTD-Fluxgate Data Based on the Combination of the Mahalanobis Distance and Group CovarianceNa Pang0Dan Wang1Yuhan Yang2Rui Wang3College of Computer Science and Technology, Beihua University, No. 3999 East Binjiang Road, Jilin 132013, ChinaCollege of Computer Science and Technology, Beihua University, No. 3999 East Binjiang Road, Jilin 132013, ChinaCollege of Computer Science and Technology, Beihua University, No. 3999 East Binjiang Road, Jilin 132013, ChinaCollege of Computer Science and Technology, Beihua University, No. 3999 East Binjiang Road, Jilin 132013, ChinaDuring the measurement of magnetic fields, Residence Time Difference (RTD)-fluxgate sensors suffer from abnormal time difference jumps due to the random interference of magnetic core noise and environmental noise, which results in gross errors. This situation restricts the improvement of sensor accuracy and stability. In order to solve the above problems efficiently, a time difference gross error processing method based on the combination of the Mahalanobis distance (MD) and group covariance is presented in this paper, and the processing effects of different methods are compared and analyzed. The results of the simulation and experiment indicate that the proposed method is more advantageous in identifying the gross error in time difference. The signal-to-noise ratio for the time difference is improved by about 34 times, while the fluctuation of the Negative Magnetic Saturation Time (NMST) Δ<i>T</i><sub>NMST</sub> is reduced by 95.402%, which significantly reduces the fluctuation of time difference and effectively improves the accuracy and stability of the sensor.https://www.mdpi.com/1424-8220/23/22/9223RTD-fluxgatetime differencegross errorMahalanobis distancegroup covariance |
| spellingShingle | Na Pang Dan Wang Yuhan Yang Rui Wang Research on a Time Difference Processing Method for RTD-Fluxgate Data Based on the Combination of the Mahalanobis Distance and Group Covariance Sensors RTD-fluxgate time difference gross error Mahalanobis distance group covariance |
| title | Research on a Time Difference Processing Method for RTD-Fluxgate Data Based on the Combination of the Mahalanobis Distance and Group Covariance |
| title_full | Research on a Time Difference Processing Method for RTD-Fluxgate Data Based on the Combination of the Mahalanobis Distance and Group Covariance |
| title_fullStr | Research on a Time Difference Processing Method for RTD-Fluxgate Data Based on the Combination of the Mahalanobis Distance and Group Covariance |
| title_full_unstemmed | Research on a Time Difference Processing Method for RTD-Fluxgate Data Based on the Combination of the Mahalanobis Distance and Group Covariance |
| title_short | Research on a Time Difference Processing Method for RTD-Fluxgate Data Based on the Combination of the Mahalanobis Distance and Group Covariance |
| title_sort | research on a time difference processing method for rtd fluxgate data based on the combination of the mahalanobis distance and group covariance |
| topic | RTD-fluxgate time difference gross error Mahalanobis distance group covariance |
| url | https://www.mdpi.com/1424-8220/23/22/9223 |
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