Abstract
At present GPS is applied to various situations because of its confidence and usefulness. Position calculated by GPS makes some errors caused from many different factors which GPS signals made. The greatest error factor which affects the accuracy and the precision of positioning by GPS is lack of the number of satellites you can see in the sky. To reduce this error factor and to improve the precision and accuracy of GPS positioning many projects are carried out research, such as QZSS, pseudolite system. These systems have potentiality to make the precision of GPS positioning under worse situation that you can see few GPS satellites because they increase the number of satellites which are available to use for position calculating. However, they require much time and expensive device for their infrastructure. We paid attention to GPS calculating method itself. We adapted Kalman filter to GPS positioning calculation. We improved the precision and accuracy of SPS positioning in stand-alone mode under worse situation adapted the Kalman filter parameter.
| Original language | English |
|---|---|
| Title of host publication | 2006 SICE-ICASE International Joint Conference |
| Pages | 1351-1354 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2006 |
| Event | 2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of Duration: 2006 Oct 18 → 2006 Oct 21 |
Other
| Other | 2006 SICE-ICASE International Joint Conference |
|---|---|
| Country | Korea, Republic of |
| City | Busan |
| Period | 06/10/18 → 06/10/21 |
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Keywords
- GPS
- Kalman filter
- Least-squares method
- SPS
- Stand-alone mode
ASJC Scopus subject areas
- Computer Science Applications
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
GPS standard positioning using Kalman filter. / Yamaguchi, Seiji; Tanaka, Toshiyuki.
2006 SICE-ICASE International Joint Conference. 2006. p. 1351-1354 4109175.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - GPS standard positioning using Kalman filter
AU - Yamaguchi, Seiji
AU - Tanaka, Toshiyuki
PY - 2006
Y1 - 2006
N2 - At present GPS is applied to various situations because of its confidence and usefulness. Position calculated by GPS makes some errors caused from many different factors which GPS signals made. The greatest error factor which affects the accuracy and the precision of positioning by GPS is lack of the number of satellites you can see in the sky. To reduce this error factor and to improve the precision and accuracy of GPS positioning many projects are carried out research, such as QZSS, pseudolite system. These systems have potentiality to make the precision of GPS positioning under worse situation that you can see few GPS satellites because they increase the number of satellites which are available to use for position calculating. However, they require much time and expensive device for their infrastructure. We paid attention to GPS calculating method itself. We adapted Kalman filter to GPS positioning calculation. We improved the precision and accuracy of SPS positioning in stand-alone mode under worse situation adapted the Kalman filter parameter.
AB - At present GPS is applied to various situations because of its confidence and usefulness. Position calculated by GPS makes some errors caused from many different factors which GPS signals made. The greatest error factor which affects the accuracy and the precision of positioning by GPS is lack of the number of satellites you can see in the sky. To reduce this error factor and to improve the precision and accuracy of GPS positioning many projects are carried out research, such as QZSS, pseudolite system. These systems have potentiality to make the precision of GPS positioning under worse situation that you can see few GPS satellites because they increase the number of satellites which are available to use for position calculating. However, they require much time and expensive device for their infrastructure. We paid attention to GPS calculating method itself. We adapted Kalman filter to GPS positioning calculation. We improved the precision and accuracy of SPS positioning in stand-alone mode under worse situation adapted the Kalman filter parameter.
KW - GPS
KW - Kalman filter
KW - Least-squares method
KW - SPS
KW - Stand-alone mode
UR - http://www.scopus.com/inward/record.url?scp=34250758069&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34250758069&partnerID=8YFLogxK
U2 - 10.1109/SICE.2006.315572
DO - 10.1109/SICE.2006.315572
M3 - Conference contribution
AN - SCOPUS:34250758069
SN - 8995003855
SN - 9788995003855
SP - 1351
EP - 1354
BT - 2006 SICE-ICASE International Joint Conference
ER -