Name
Abstract | ||
|---|---|---|
The development of SOTM systems for land applications increases the need of use greater frequency (Ka band) : this introduces new problems related to land systems SOTM that do not appear in aeronautics applications. Among these, satellite tracking/pointing is a very critical aspect, above all in Ka band for which the maximum pointing error admitted is one tenth of degree: this does not allow the use of wide step tracking technique and it foist on the use of accurate open loop systems making use of inertial measurement system. In order to improve the performance of this system and making it accurate for Ka band, novel solution in the prediction of the vehicle attitude must be studied. In this paper the performance of inertial measurement system are enhanced by means of a fusion of sensor data and extended Kalman filters. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMS.2014.57 | European Symposium on Computer Modeling and Simulation |
Keywords | Field | DocType |
SOTM, vehicle attitude modeling, satellite tracking, Inertial Measurement Unit, Kalman Filter | Signal processing,Gyroscope,System of measurement,Control theory,Computer science,Accelerometer,Ka band,Kalman filter,Real-time computing,Global Positioning System,Inertial measurement unit | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salvatore Coco | 1 | 1 | 2.39 |
| Gianluca Chisari | 2 | 0 | 0.34 |
| Patrizia Di Falco | 3 | 0 | 0.34 |
| Enza Iraci | 4 | 0 | 0.34 |
| Simona Militello | 5 | 0 | 0.34 |
| Antonino Laudani | 6 | 44 | 9.11 |