แจ้งเอกสารไม่ครบถ้วน, ไม่ตรงกับชื่อเรื่อง หรือมีข้อผิดพลาดเกี่ยวกับเอกสาร ติดต่อที่นี่ ==>
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
Vichhaiy Serey. Improving accuracy of an AoA-based Wi-Fi indoor localization using Kalman filter. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2020.
Improving accuracy of an AoA-based Wi-Fi indoor localization using Kalman filter
Name: Boonsit Yimwadsana
Organization :
Mahidol University. Faculty of Information and Communication Technology and Integrative Computational BioScience Center
Email :
boonsit.yim@mahidol .ac.th
Name: Vichhaiy Serey
Organization :
Mahidol University. Information and Communication Technology
Email :
vichhaiyserey@gmail.com
keyword:
Indoor localization
ThaSH:
Kalman filtering
ThaSH:
Estimation theory
ThaSH:
Location-based services
Abstract:
Indoor location-based system (Indoor LBS) has
increasingly attracted attentions in research and industrial
community in the recent years. However, the adoption of indoor
LBS is still slow due to many obstacles, in particular, its low
accuracy performance. Many real-world applications require
challenging performance targets such as real-time operation,
high accuracy, and energy efficiency. In order to meet the
requirements, fast and accurate positioning methods are
necessary. However, noise from interference and multipath in
the indoor environment is one of the most important factors
preventing accurate and stable positioning. Since it is difficult
to make changes to the sensor technologies especially in the
hardware, improving the accuracy of indoor positioning by
removing noise from the positioning measurement offers an
effective solution to the accuracy problem for indoor LBS. We
propose a Kalman Filter method which could be applied to the
measurements of the indoor LBS. The result from the
experiment shows that the positioning accuracy has improved
for over 40 percent for static positioning.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2020
Modified:
2023-11-17
Issued:
2023-11-17
บทความ/Article
application/pdf
BibliograpyCitation :
In King Mongkut's University of Technology North Bangkok Faculty of Applied Science. The 17th International Joint Conference on Computer Science and Software Engineering (JCSSE 2020) (pp.155-159). Bangkok : King Mongkut's University of Technology North Bangkok
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.02608 วินาที
Boonsit Yimwadsana
| Title | Contributor | Type |
|---|---|---|
| Improving accuracy of an AoA-based Wi-Fi indoor localization using Kalman filter
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Boonsit Yimwadsana;Vichhaiy Serey | บทความ/Article | |
| Leveraging machine learning for estimating relationship model through empirical scientific data
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Boonsit Yimwadsana | บทความ/Article |
Vichhaiy Serey
| Title | Contributor | Type |
|---|---|---|
| Improving accuracy of an AoA-based Wi-Fi indoor localization using Kalman filter
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Boonsit Yimwadsana;Vichhaiy Serey | บทความ/Article |