Abstract
Indoor localization become more important and is required to be more accurate. Based on wireless local area network(WLAN) localization technology is easy and popular. In WLAN localization methods. matching Fingerprint database method is accurate because this is able to adapt real environment well. However. constructing database is costly. In this study we research Fingerprint method whose construction cost is more inexpensive.
| Original language | English |
|---|---|
| Title of host publication | 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 67-70 |
| Number of pages | 4 |
| ISBN (Print) | 9784907764487 |
| DOIs | |
| Publication status | Published - 2015 Sep 30 |
| Event | 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 - Hangzhou, China Duration: 2015 Jul 28 → 2015 Jul 30 |
Other
| Other | 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 |
|---|---|
| Country | China |
| City | Hangzhou |
| Period | 15/7/28 → 15/7/30 |
Fingerprint
Keywords
- Artificial Neural Network
- Indoor positioning
- Pattern Matching
ASJC Scopus subject areas
- Control and Systems Engineering
Cite this
Construction method of fingerprint database for WLAN localization. / Matsui, Shun; Tanaka, Toshiyuki.
2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 67-70 7285520.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Construction method of fingerprint database for WLAN localization
AU - Matsui, Shun
AU - Tanaka, Toshiyuki
PY - 2015/9/30
Y1 - 2015/9/30
N2 - Indoor localization become more important and is required to be more accurate. Based on wireless local area network(WLAN) localization technology is easy and popular. In WLAN localization methods. matching Fingerprint database method is accurate because this is able to adapt real environment well. However. constructing database is costly. In this study we research Fingerprint method whose construction cost is more inexpensive.
AB - Indoor localization become more important and is required to be more accurate. Based on wireless local area network(WLAN) localization technology is easy and popular. In WLAN localization methods. matching Fingerprint database method is accurate because this is able to adapt real environment well. However. constructing database is costly. In this study we research Fingerprint method whose construction cost is more inexpensive.
KW - Artificial Neural Network
KW - Indoor positioning
KW - Pattern Matching
UR - http://www.scopus.com/inward/record.url?scp=84960104233&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84960104233&partnerID=8YFLogxK
U2 - 10.1109/SICE.2015.7285520
DO - 10.1109/SICE.2015.7285520
M3 - Conference contribution
AN - SCOPUS:84960104233
SN - 9784907764487
SP - 67
EP - 70
BT - 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -