Article
Publicly Available
Frontmatter
Published/Copyright:
June 30, 2023
Published Online: 2023-06-30
Published in Print: 2023-07-27
©2023 Walter de Gruyter GmbH, Berlin/Boston
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- Frontmatter
- Review
- Investigation of the trade-off between the complexity of the accelerometer bias model and the state estimation accuracy in INS/GNSS integration
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- Solution for ill-posed EIV model regularization attending to its decreasing regularization characteristic
- Trajectory evaluation using repeated rail-bound measurements
- Global geopotential models evaluation based on terrestrial gravity data over Ethiopia
- A calculation method for GNSS positioning precision based on the posteriori unit weight variance
- Accuracy and reliability of BeiDou clocks
- Positioning performance with dual-frequency low-cost GNSS receivers
- Estimating 3D displacement vectors from line-of-sight observations with application to MIMO-SAR
- Determination of the height reference surface for the Republic of Albania by using global geopotential models
- An integrated adaptive Kalman filter for improving the reliability of navigation systems
Articles in the same Issue
- Frontmatter
- Review
- Investigation of the trade-off between the complexity of the accelerometer bias model and the state estimation accuracy in INS/GNSS integration
- Original Research Articles
- Solution for ill-posed EIV model regularization attending to its decreasing regularization characteristic
- Trajectory evaluation using repeated rail-bound measurements
- Global geopotential models evaluation based on terrestrial gravity data over Ethiopia
- A calculation method for GNSS positioning precision based on the posteriori unit weight variance
- Accuracy and reliability of BeiDou clocks
- Positioning performance with dual-frequency low-cost GNSS receivers
- Estimating 3D displacement vectors from line-of-sight observations with application to MIMO-SAR
- Determination of the height reference surface for the Republic of Albania by using global geopotential models
- An integrated adaptive Kalman filter for improving the reliability of navigation systems