The application analysis of adaptive filter based on polynomial AR model in GPS dynamic positioning

DOI

10.2991/aest-16.2016.4How to use a DOI?

Keywords

GPS dynamic; AR model; kalman filter; colored noise; adaptive filter.

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/aest-16.2016.4
ID  - Wang2016/11
ER  -