Abstract
Indoor positioning technique is used to trace the location of entities within a non-space environment riding from the incapability of GPS to do so. Most of indoor localization techniques proposed by researchers to discover an optimized solution for indoor location tracking that has high precision and accuracy. This paper proposes an improved indoor location technique by implementing Trilateration and Kalman Filter that can manipulate noise signal reduced from raw Received Signal Strength Indicator (RSSI). This paper also proposed the uses of Centroid Positioning that be amended on top of Kalman Filter which to study whether it can improve the accuracy rate or not. Upon implementing the technique, observation and comparison are made to measure the effectiveness and reliability of the uses of Kalman Filter and Centroid Positioning. Our analysis and finding show that the enhanced indoor positioning technique has improved the accuracy tremendously.
| Original language | English |
|---|---|
| Pages (from-to) | 17-25 |
| Number of pages | 9 |
| Journal | Journal of Communications |
| Volume | 14 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 01 Jan 2019 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
}
An improved indoor location technique using combination of kalman filter and centroid positioning. / Aziz, Nik Fariz Nik Ahmad; Jamil, Norziana; Din, Marina Md.
In: Journal of Communications, Vol. 14, No. 1, 01.01.2019, p. 17-25.Research output: Contribution to journal › Article
TY - JOUR
T1 - An improved indoor location technique using combination of kalman filter and centroid positioning
AU - Aziz, Nik Fariz Nik Ahmad
AU - Jamil, Norziana
AU - Din, Marina Md
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Indoor positioning technique is used to trace the location of entities within a non-space environment riding from the incapability of GPS to do so. Most of indoor localization techniques proposed by researchers to discover an optimized solution for indoor location tracking that has high precision and accuracy. This paper proposes an improved indoor location technique by implementing Trilateration and Kalman Filter that can manipulate noise signal reduced from raw Received Signal Strength Indicator (RSSI). This paper also proposed the uses of Centroid Positioning that be amended on top of Kalman Filter which to study whether it can improve the accuracy rate or not. Upon implementing the technique, observation and comparison are made to measure the effectiveness and reliability of the uses of Kalman Filter and Centroid Positioning. Our analysis and finding show that the enhanced indoor positioning technique has improved the accuracy tremendously.
AB - Indoor positioning technique is used to trace the location of entities within a non-space environment riding from the incapability of GPS to do so. Most of indoor localization techniques proposed by researchers to discover an optimized solution for indoor location tracking that has high precision and accuracy. This paper proposes an improved indoor location technique by implementing Trilateration and Kalman Filter that can manipulate noise signal reduced from raw Received Signal Strength Indicator (RSSI). This paper also proposed the uses of Centroid Positioning that be amended on top of Kalman Filter which to study whether it can improve the accuracy rate or not. Upon implementing the technique, observation and comparison are made to measure the effectiveness and reliability of the uses of Kalman Filter and Centroid Positioning. Our analysis and finding show that the enhanced indoor positioning technique has improved the accuracy tremendously.
UR - http://www.scopus.com/inward/record.url?scp=85061911191&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061911191&partnerID=8YFLogxK
U2 - 10.12720/jcm.14.1.17-25
DO - 10.12720/jcm.14.1.17-25
M3 - Article
AN - SCOPUS:85061911191
VL - 14
SP - 17
EP - 25
JO - Journal of Communications
JF - Journal of Communications
SN - 1796-2021
IS - 1
ER -