Abstract
Aim: To determine the mathematical model of GPS positioning error data. Methods: Time series processing method was used to analyze the initial data, while period graph technique used in extracting the periodic error and Box-Jenkins method used in modeling the stable stochastic process. Results: The model can be used to improve the GPS positioning precision. Conclusion: The GPS positioning error belongs to unstable time series process, composed of periodic process and stable stochastic process. The most hidden-period existing in the periodic process is 10min and the stable stochastic process belongs to AR(1).
| Original language | English |
|---|---|
| Pages (from-to) | 456-460 |
| Number of pages | 5 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 18 |
| Issue number | 4 |
| Publication status | Published - 1998 |
Keywords
- Error model
- GPS (global positioning system)
- Time series