Opened 2 years ago
Last modified 2 years ago
#182 closed task
Kalman filter implementation clarification — at Initial Version
| Reported by: | Owned by: | stuerze | |
|---|---|---|---|
| Priority: | normal | Component: | BNC |
| Version: | Keywords: | kalman filter | |
| Cc: |
Description
What is the exact kalman filter implementation used in BNC? I was not able to find this exact square root filter implementation anywhere in the literature or understand it properly. The Cholesky decomposition used in combination with a QRZ Decomposition used on an Augmentation Matrix including weights, the square root of the filter covariances and a combination of the the square root of the filter covariances and Design Matrix seems unusual. A clarification would be appreciated a lot.
Note:
See TracTickets
for help on using tickets.
