2016
DOI: 10.1016/j.ifacol.2016.03.129
|View full text |Cite
|
Sign up to set email alerts
|

Novel method for static pressure calibration using Unscented Kalman Filter

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
5
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
2
2

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(5 citation statements)
references
References 5 publications
0
5
0
Order By: Relevance
“…It is observed in [6] that the MLE based method is not able to estimate varying winds with altitude and hence results in poor FPR. Whereas the KF based techniques [6][7][8][9] have been shown to perform better under these conditions. In references [6][7][8][9], KF based techniques have been developed for air data calibration and accuracy determination of airdata system of a high-performance aircraft.…”
Section: Introductionmentioning
confidence: 99%
See 4 more Smart Citations
“…It is observed in [6] that the MLE based method is not able to estimate varying winds with altitude and hence results in poor FPR. Whereas the KF based techniques [6][7][8][9] have been shown to perform better under these conditions. In references [6][7][8][9], KF based techniques have been developed for air data calibration and accuracy determination of airdata system of a high-performance aircraft.…”
Section: Introductionmentioning
confidence: 99%
“…Whereas the KF based techniques [6][7][8][9] have been shown to perform better under these conditions. In references [6][7][8][9], KF based techniques have been developed for air data calibration and accuracy determination of airdata system of a high-performance aircraft. But in [6][7][8][9], more accurate inertial sensors have been used to calibrate the airdata sensors.…”
Section: Introductionmentioning
confidence: 99%
See 3 more Smart Citations