Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

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

Authors
Yanjie Cao
Corresponding Author
Yanjie Cao
Available Online March 2016.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 4th International Conference on Machinery, Materials and Computing Technology
Part of series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.341How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/icmmct-16.2016.341
ID  - Cao2016/03
ER  -