How can Kalman filters be used to improve the accuracy of GPS?
Best insight from top research papers
Kalman filters can be used to improve the accuracy of GPS by providing more precise position coordinates and reducing errors. The use of non-Gaussian filters, such as the ensemble Kalman filter (EnKF), has been shown to be effective in improving navigation accuracy in Moon transfer orbit (MTO) GPS navigation . Additionally, the combination of Hatch filter, Kalman filter, and Extended Kalman Filter (EKF) can be used as smoothing filters for Smoothed Pseudorange, overcoming the integer ambiguity problem and improving position accuracy for Single Frequency IRNSS Receiver . Furthermore, the application of Kalman filters in disciplining Coherent Population Trapping (CPT) atomic clocks in GPS systems has been found to significantly enhance frequency stability . Lastly, an anti-spoofing integrated navigation method utilizing Kalman filter and credible GPS positioning results has been proposed to improve the accuracy and robustness of integrated navigation without the need for additional equipment .
Answers from top 5 papers
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| Papers (5) | Insight |
|---|---|
2 Citations | Kalman filters can be used to improve the accuracy of GPS by detecting spoofing signals and using credible GPS positioning results as measurements in the filter. |
| Kalman filters, specifically the ensemble Kalman filter (EnKF), can be used to improve the accuracy of GPS by estimating states using non-Gaussian distributions. | |
24 Nov 2022 | Kalman filters can be used as smoothing filters in GPS receivers to improve accuracy by reducing integer ambiguity and solving nonlinear equations. |
24 Nov 2022 | Kalman filters can be used as smoothing filters in GPS receivers to improve accuracy by reducing integer ambiguity and solving nonlinear equations. |
| Kalman filters can be used to process the output frequency signal of a GPS-disciplined atomic clock, resulting in improved frequency stability. |
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