IEICE TRANSACTIONS on Fundamentals
Reliable Position Estimation by Parallelized Processing in Kinematic Positioning for Single Frequency GNSS Receiver
Summary :
Location information is meaningful information for future ITS (Intelligent Transport Systems) world. Especially, the accuracy of the information is required because the accuracy decides the quality of ITS services. For realization of high precision positioning, Kinematic positioning technique has been attracting attention. The Kinematic positioning requires the configuration of many positioning parameters. However, the configuration is difficult because optimal parameter differs according to user's environment. In this paper, we will propose an estimation method of optimal parameter according to the environment. Further, we will propose an elimination method of unreliable positioning results. Hereby, we can acquire extensively only the reliable positioning results. By using the actual vehicle traveling data, the ability and the applicable range of the proposed method will be shown. The result will show that our proposed method improves the acquision rate of reliable positioning results and mitigates the acquision rate of the unreliable positioning results.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.7 pp.1083-1091
- Publication Date
- 2018/07/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E101.A.1083
- Type of Manuscript
- PAPER
- Category
- Intelligent Transport System
Authors
Hiromi IN
Utsunomiya University
Hiroyuki HATANO
Utsunomiya University
Masahiro FUJII
Utsunomiya University
Atsushi ITO
Utsunomiya University
Yu WATANABE
Utsunomiya University
Keyword
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Hiromi IN, Hiroyuki HATANO, Masahiro FUJII, Atsushi ITO, Yu WATANABE, "Reliable Position Estimation by Parallelized Processing in Kinematic Positioning for Single Frequency GNSS Receiver" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 7, pp. 1083-1091, July 2018, doi: 10.1587/transfun.E101.A.1083.
Abstract: Location information is meaningful information for future ITS (Intelligent Transport Systems) world. Especially, the accuracy of the information is required because the accuracy decides the quality of ITS services. For realization of high precision positioning, Kinematic positioning technique has been attracting attention. The Kinematic positioning requires the configuration of many positioning parameters. However, the configuration is difficult because optimal parameter differs according to user's environment. In this paper, we will propose an estimation method of optimal parameter according to the environment. Further, we will propose an elimination method of unreliable positioning results. Hereby, we can acquire extensively only the reliable positioning results. By using the actual vehicle traveling data, the ability and the applicable range of the proposed method will be shown. The result will show that our proposed method improves the acquision rate of reliable positioning results and mitigates the acquision rate of the unreliable positioning results.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1083/_p
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@ARTICLE{e101-a_7_1083,
author={Hiromi IN, Hiroyuki HATANO, Masahiro FUJII, Atsushi ITO, Yu WATANABE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Reliable Position Estimation by Parallelized Processing in Kinematic Positioning for Single Frequency GNSS Receiver},
year={2018},
volume={E101-A},
number={7},
pages={1083-1091},
abstract={Location information is meaningful information for future ITS (Intelligent Transport Systems) world. Especially, the accuracy of the information is required because the accuracy decides the quality of ITS services. For realization of high precision positioning, Kinematic positioning technique has been attracting attention. The Kinematic positioning requires the configuration of many positioning parameters. However, the configuration is difficult because optimal parameter differs according to user's environment. In this paper, we will propose an estimation method of optimal parameter according to the environment. Further, we will propose an elimination method of unreliable positioning results. Hereby, we can acquire extensively only the reliable positioning results. By using the actual vehicle traveling data, the ability and the applicable range of the proposed method will be shown. The result will show that our proposed method improves the acquision rate of reliable positioning results and mitigates the acquision rate of the unreliable positioning results.},
keywords={},
doi={10.1587/transfun.E101.A.1083},
ISSN={1745-1337},
month={July},}
Copy
TY - JOUR
TI - Reliable Position Estimation by Parallelized Processing in Kinematic Positioning for Single Frequency GNSS Receiver
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1083
EP - 1091
AU - Hiromi IN
AU - Hiroyuki HATANO
AU - Masahiro FUJII
AU - Atsushi ITO
AU - Yu WATANABE
PY - 2018
DO - 10.1587/transfun.E101.A.1083
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2018
AB - Location information is meaningful information for future ITS (Intelligent Transport Systems) world. Especially, the accuracy of the information is required because the accuracy decides the quality of ITS services. For realization of high precision positioning, Kinematic positioning technique has been attracting attention. The Kinematic positioning requires the configuration of many positioning parameters. However, the configuration is difficult because optimal parameter differs according to user's environment. In this paper, we will propose an estimation method of optimal parameter according to the environment. Further, we will propose an elimination method of unreliable positioning results. Hereby, we can acquire extensively only the reliable positioning results. By using the actual vehicle traveling data, the ability and the applicable range of the proposed method will be shown. The result will show that our proposed method improves the acquision rate of reliable positioning results and mitigates the acquision rate of the unreliable positioning results.
ER -
English
