A Modified Residual-Based RAIM Algorithm for Multiple Outliers Based on a Robust MM Estimation
The residual-based (RB) receiver autonomous integrity monitoring (RAIM) detector is a widely used receiver integrity enhancement technology that has the ability to rapidly respond to outliers. However, the sensitivity and vulnerability of the residuals to the outliers are the weaknesses of the metho...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/18/5407 |
| _version_ | 1797553108232962048 |
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| author | Wenbo Wang Ying Xu |
| author_facet | Wenbo Wang Ying Xu |
| author_sort | Wenbo Wang |
| collection | DOAJ |
| description | The residual-based (RB) receiver autonomous integrity monitoring (RAIM) detector is a widely used receiver integrity enhancement technology that has the ability to rapidly respond to outliers. However, the sensitivity and vulnerability of the residuals to the outliers are the weaknesses of the method especially in the case of multi-outlier modes. It is an effective method for enhancing the validity of residuals by robust estimation instead of least squares (LS) estimation. In this paper, a modified RB RAIM detector based on a robust MM estimation with a higher detection performance under multi-outlier modes is presented. A fast subset selection method based on the characteristic slope that could reduce the number of subsets to be calculated is also presented. The experimental results show that the proposed algorithm maintains a more robust performance than the RB RAIM detector based on the LS estimator and M estimator with an IGG III function especially with the increase in the number of outliers. The proposed fast subset selection method can reduce the calculation time by at least 80%, demonstrating the practical application value of the algorithm. |
| first_indexed | 2024-03-10T16:10:44Z |
| format | Article |
| id | doaj.art-7f90c0248f4a4b17a8d96d72fd4f04e2 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T16:10:44Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7f90c0248f4a4b17a8d96d72fd4f04e22023-11-20T14:30:10ZengMDPI AGSensors1424-82202020-09-012018540710.3390/s20185407A Modified Residual-Based RAIM Algorithm for Multiple Outliers Based on a Robust MM EstimationWenbo Wang0Ying Xu1Aerospace Information Research Institute, Chinese Academy of Science, Beijing 100864, ChinaAerospace Information Research Institute, Chinese Academy of Science, Beijing 100864, ChinaThe residual-based (RB) receiver autonomous integrity monitoring (RAIM) detector is a widely used receiver integrity enhancement technology that has the ability to rapidly respond to outliers. However, the sensitivity and vulnerability of the residuals to the outliers are the weaknesses of the method especially in the case of multi-outlier modes. It is an effective method for enhancing the validity of residuals by robust estimation instead of least squares (LS) estimation. In this paper, a modified RB RAIM detector based on a robust MM estimation with a higher detection performance under multi-outlier modes is presented. A fast subset selection method based on the characteristic slope that could reduce the number of subsets to be calculated is also presented. The experimental results show that the proposed algorithm maintains a more robust performance than the RB RAIM detector based on the LS estimator and M estimator with an IGG III function especially with the increase in the number of outliers. The proposed fast subset selection method can reduce the calculation time by at least 80%, demonstrating the practical application value of the algorithm.https://www.mdpi.com/1424-8220/20/18/5407RAIMrobust statisticsMM estimatorcharacteristic slope |
| spellingShingle | Wenbo Wang Ying Xu A Modified Residual-Based RAIM Algorithm for Multiple Outliers Based on a Robust MM Estimation Sensors RAIM robust statistics MM estimator characteristic slope |
| title | A Modified Residual-Based RAIM Algorithm for Multiple Outliers Based on a Robust MM Estimation |
| title_full | A Modified Residual-Based RAIM Algorithm for Multiple Outliers Based on a Robust MM Estimation |
| title_fullStr | A Modified Residual-Based RAIM Algorithm for Multiple Outliers Based on a Robust MM Estimation |
| title_full_unstemmed | A Modified Residual-Based RAIM Algorithm for Multiple Outliers Based on a Robust MM Estimation |
| title_short | A Modified Residual-Based RAIM Algorithm for Multiple Outliers Based on a Robust MM Estimation |
| title_sort | modified residual based raim algorithm for multiple outliers based on a robust mm estimation |
| topic | RAIM robust statistics MM estimator characteristic slope |
| url | https://www.mdpi.com/1424-8220/20/18/5407 |
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