Name
Title | ||
|---|---|---|
Reduced-order adaptive Kalman filtering for dual-frequency navigation with carrier phase |
Abstract | ||
|---|---|---|
A new adaptive Kalman filtering algorithm for dual-frequency navigation with carrier phase is presented. By reducing the filtering order after full-order initialization, this algorithm saves the extra computational cost brought by carrier phase observations. The improved adaptation of state covariance matrix in reduced-order processing also improves filtering precision and robustness. Finally applications on both static data and kinetic simulations demonstrate the validity and efficiency of the algorithm. © 2011 IEEE. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISCIT.2011.6092190 | ISCIT |
Keywords | Field | DocType |
mathematical model,signal processing,navigation,kinetics,satellites,adaptive filters,covariance matrix,kalman filters,kalman filter | Extended Kalman filter,Fast Kalman filter,Computer science,Control theory,Filter (signal processing),Covariance intersection,Robustness (computer science),Kalman filter,Adaptive filter,Initialization | Conference |
Volume | Issue | ISSN |
null | null | null |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| ChenXi Lu | 1 | 20 | 2.10 |
| Yunhua Tan | 2 | 52 | 5.11 |
| LeZhu Zhou | 3 | 18 | 1.35 |