A Fusion Location Algorithm Based on Federated Kalman Filtering

DOI

10.2991/icmmct-16.2016.399How to use a DOI?

Keywords

Federal Kalman Filter; WLAN System; RFID System; Location Algorithm; Fusion Algorithm

Abstract

The paper designed a WLAN system with RFID systems joint locating algorithm based on Federated Kalman Filtering. For the problem in indoor mobile node single positioning system, such as insufficient positioning accuracy, longer positioning time and not ideal algorithm complexity, it was proposed that the federated filtering techniques was applied in the location system, and was combined with data from WLAN and RFID to realize all accuracy improved. In the system, sub-filter use unscented Kalman filter algorithm independent measurement updates and time update, and the subsystem information is fused with the main filter based on no feedback mode. It was proved from the result that the calculation improved was of feasibility, which reduced unscented Kalman filter calculation, decreased maximum deviation and minimum deviation and improved the positioning accuracy.

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  - Long-hui Lv
AU  - Hong-xia Jin
PY  - 2016/03
DA  - 2016/03
TI  - A Fusion Location Algorithm Based on Federated Kalman Filtering
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 2001
EP  - 2005
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.399
DO  - 10.2991/icmmct-16.2016.399
ID  - Lv2016/03
ER  -