The application analysis of adaptive filter based on polynomial AR model in GPS dynamic positioning
Xianglei Wang, Guitao Fu
Available Online November 2016.
- https://doi.org/10.2991/aest-16.2016.4How to use a DOI?
- GPS dynamic; AR model; kalman filter; colored noise; adaptive filter.
- When modeling for colored noise, order number and the coefficient of determination of the model is a difficult problem, real-time computing applicability is very good, although but increased filtering calculation burden. Therefore based on the polynomial approximation theory, this paper proposes a polynomial AR model to colored noise modeling, model coefficient and the order number and the polynomial order, only speed up the computing speed of the filter. Through an example for a GPS cycle slip detection effectiveness of the proposed algorithm is verified.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xianglei Wang AU - Guitao Fu PY - 2016/11 DA - 2016/11 TI - The application analysis of adaptive filter based on polynomial AR model in GPS dynamic positioning BT - 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016) PB - Atlantis Press SP - 35 EP - 42 SN - 1951-6851 UR - https://doi.org/10.2991/aest-16.2016.4 DO - https://doi.org/10.2991/aest-16.2016.4 ID - Wang2016/11 ER -