The Application of Finite-difference Extended Kalman Filter in GPS Speed Measurement

DOI

10.2991/icmmct-16.2016.341How to use a DOI?

Keywords

Kalman filter; GPS speed measurement; Target tracking

Abstract

GPS Speed Measurement, just like position measurement, is a very widely-applied field. GPS can not only determine the real-time location of carriers in motion, but also determine the instantaneous speed of carriers . Therefore, at present, GPS speed measurement is also very widely applied. In view of the disadvantage that the present common filtering algorithm cannot track targets precisely and efficiently, a finite-difference extended Kalman filter (FDEKF) algorithm is presented to be used in GPS tracking in the reentry stage. This algorithm obtains priori and posteriori error covariance matrices using finite-difference operation, avoids nonlinear function derivation operation and the calculation of Jacobian matrix and Hessian matrix, reduces difficulty in calculation, enlarges the range of application and enhances the convergence of filtering process. The filtering accuracy is significantly improved.

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  - Yanjie Cao
PY  - 2016/03
DA  - 2016/03
TI  - The Application of Finite-difference Extended Kalman Filter in GPS Speed Measurement
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1718
EP  - 1723
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.341
DO  - 10.2991/icmmct-16.2016.341
ID  - Cao2016/03
ER  -