TY - GEN
T1 - Indoor Positioning System
T2 - 2024 International Conference on Smart Computing, IoT and Machine Learning, SIML 2024
AU - Firmansyah, Fathan
AU - Rahma, Fayruz
AU - Irianto, Kurniawan Dwi
AU - Shiddiqi, Ary Mazharuddin
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In recent years, the growing demand for location-based services has made positioning systems indispensable for mobile device users. Although the Global Positioning System (GPS) is widely used for outdoor positioning, its efficacy is significantly reduced due to obstructions that block or weaken the signal. To address this issue, Indoor Positioning Systems (IPS) offer a viable solution for indoor environments. This paper presents a comprehensive literature review of IPS from sources such as Science Direct and IEEE Xplore using the PRISMA flow diagram for systematic review. We explore the latest techniques in IPS, discuss its challenges, and examine its application in various domains to provide an updated overview of the current trends and challenges in the field. We highlight that trilateration and Kalman filtering are the predominant methods for location determination and filtering.
AB - In recent years, the growing demand for location-based services has made positioning systems indispensable for mobile device users. Although the Global Positioning System (GPS) is widely used for outdoor positioning, its efficacy is significantly reduced due to obstructions that block or weaken the signal. To address this issue, Indoor Positioning Systems (IPS) offer a viable solution for indoor environments. This paper presents a comprehensive literature review of IPS from sources such as Science Direct and IEEE Xplore using the PRISMA flow diagram for systematic review. We explore the latest techniques in IPS, discuss its challenges, and examine its application in various domains to provide an updated overview of the current trends and challenges in the field. We highlight that trilateration and Kalman filtering are the predominant methods for location determination and filtering.
KW - Indoor Positioning System
KW - signal-filtering
KW - wireless technologies
UR - http://www.scopus.com/inward/record.url?scp=85198859781&partnerID=8YFLogxK
U2 - 10.1109/SIML61815.2024.10578093
DO - 10.1109/SIML61815.2024.10578093
M3 - Conference contribution
AN - SCOPUS:85198859781
T3 - 2024 International Conference on Smart Computing, IoT and Machine Learning, SIML 2024
SP - 1
EP - 7
BT - 2024 International Conference on Smart Computing, IoT and Machine Learning, SIML 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 June 2024 through 7 June 2024
ER -