IEICE TRANSACTIONS on Communications
An Improved GPS/RFID Integration Method Based on Sequential Iterated Reduced Sigma Point Kalman Filter
Summary :
In this paper, an improved GPS/RFID integration method based on Sequential Iterated Reduced Sigma Point Kalman Filter (SIRSPKF) is proposed for vehicle navigation applications. It is applied to improve the accuracy, reliability and availability of satellite positioning in the areas where the satellite visibility is limited. An RFID system is employed to assist the GPS system in achieving high accuracy positioning. Further, to reduce the measurement noise and decrease the computational complexity caused by the integrated GPS/RFID, SIRSPKF is investigated as the dominant filter for the proposed integration. Performances and computational complexities of different integration scenarios with different filters are compared in this paper. A field experiment shows that both accuracy and availability of positioning can be improved significantly by this low-cost GPS/RFID integration method with the reduced computational load.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E95-B No.7 pp.2433-2441
- Publication Date
- 2012/07/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E95.B.2433
- Type of Manuscript
- PAPER
- Category
- Navigation, Guidance and Control Systems
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Jing PENG, Falin WU, Ming ZHU, Feixue WANG, Kefei ZHANG, "An Improved GPS/RFID Integration Method Based on Sequential Iterated Reduced Sigma Point Kalman Filter" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 7, pp. 2433-2441, July 2012, doi: 10.1587/transcom.E95.B.2433.
Abstract: In this paper, an improved GPS/RFID integration method based on Sequential Iterated Reduced Sigma Point Kalman Filter (SIRSPKF) is proposed for vehicle navigation applications. It is applied to improve the accuracy, reliability and availability of satellite positioning in the areas where the satellite visibility is limited. An RFID system is employed to assist the GPS system in achieving high accuracy positioning. Further, to reduce the measurement noise and decrease the computational complexity caused by the integrated GPS/RFID, SIRSPKF is investigated as the dominant filter for the proposed integration. Performances and computational complexities of different integration scenarios with different filters are compared in this paper. A field experiment shows that both accuracy and availability of positioning can be improved significantly by this low-cost GPS/RFID integration method with the reduced computational load.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.2433/_p
Copy
@ARTICLE{e95-b_7_2433,
author={Jing PENG, Falin WU, Ming ZHU, Feixue WANG, Kefei ZHANG, },
journal={IEICE TRANSACTIONS on Communications},
title={An Improved GPS/RFID Integration Method Based on Sequential Iterated Reduced Sigma Point Kalman Filter},
year={2012},
volume={E95-B},
number={7},
pages={2433-2441},
abstract={In this paper, an improved GPS/RFID integration method based on Sequential Iterated Reduced Sigma Point Kalman Filter (SIRSPKF) is proposed for vehicle navigation applications. It is applied to improve the accuracy, reliability and availability of satellite positioning in the areas where the satellite visibility is limited. An RFID system is employed to assist the GPS system in achieving high accuracy positioning. Further, to reduce the measurement noise and decrease the computational complexity caused by the integrated GPS/RFID, SIRSPKF is investigated as the dominant filter for the proposed integration. Performances and computational complexities of different integration scenarios with different filters are compared in this paper. A field experiment shows that both accuracy and availability of positioning can be improved significantly by this low-cost GPS/RFID integration method with the reduced computational load.},
keywords={},
doi={10.1587/transcom.E95.B.2433},
ISSN={1745-1345},
month={July},}
Copy
TY - JOUR
TI - An Improved GPS/RFID Integration Method Based on Sequential Iterated Reduced Sigma Point Kalman Filter
T2 - IEICE TRANSACTIONS on Communications
SP - 2433
EP - 2441
AU - Jing PENG
AU - Falin WU
AU - Ming ZHU
AU - Feixue WANG
AU - Kefei ZHANG
PY - 2012
DO - 10.1587/transcom.E95.B.2433
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2012
AB - In this paper, an improved GPS/RFID integration method based on Sequential Iterated Reduced Sigma Point Kalman Filter (SIRSPKF) is proposed for vehicle navigation applications. It is applied to improve the accuracy, reliability and availability of satellite positioning in the areas where the satellite visibility is limited. An RFID system is employed to assist the GPS system in achieving high accuracy positioning. Further, to reduce the measurement noise and decrease the computational complexity caused by the integrated GPS/RFID, SIRSPKF is investigated as the dominant filter for the proposed integration. Performances and computational complexities of different integration scenarios with different filters are compared in this paper. A field experiment shows that both accuracy and availability of positioning can be improved significantly by this low-cost GPS/RFID integration method with the reduced computational load.
ER -
English
