The Kalman filtering technique can be used to improve estimates of angular velocity (in a strapped-down navigation system) using angular increment (rate integral) data. A simple, second-order, constant coefficient digital filter can yield significant improvement for a very high or a very low noise-to-signal ratio = 4 σθ/σαT2, where σθ is the rms noise in measuring angular increments, σαis the rms angular acceleration, and T is the sampling time. For, ≈ 1, the filter affords negligible performance improvement.
|Original language||English (US)|
|Number of pages||5|
|Journal||IEEE Transactions on Aerospace and Electronic Systems|
|State||Published - Jul 1975|
All Science Journal Classification (ASJC) codes
- Aerospace Engineering
- Electrical and Electronic Engineering