TY - JOUR
T1 - RSS-based indoor localization system with single base station
AU - Al-Bawri, Samir Salem
AU - Islam, Mohammad Tariqul
AU - Singh, Mandeep Jit
AU - Jamlos, Mohd Faizal
AU - Narbudowicz, Adam
AU - Ammann, Max J.
AU - Schreurs, Dominique M.M.P.
N1 - Publisher Copyright:
© 2022 Tech Science Press. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The paper proposes an Indoor Localization System (ILS) which uses only one fixed Base Station (BS) with simple non-reconfigurable antennas. The proposed algorithm measures Received Signal Strength (RSS) and maps it to the location in the room by estimating signal strength of a direct line of sight (LOS) signal and signal of the first order reflection from the wall. The algorithm is evaluated through both simulations and empirical measurements in a furnished open space office, sampling 21 different locations in the room. It is demonstrated the system can identify user’s real-time location with a maximum estimation error below 0.7 m for 80% confidence Cumulative Distribution Function (CDF) user level, demonstrating the ability to accurately estimate the receiver’s location within the room. The system is intended as a cost-efficient indoor localization technique, offering simplicity and easy integration with existing wireless communication systems. Unlike comparable single base station localization techniques, the proposed system does not require beam scanning, offering stable communication capacity while performing the localization process.
AB - The paper proposes an Indoor Localization System (ILS) which uses only one fixed Base Station (BS) with simple non-reconfigurable antennas. The proposed algorithm measures Received Signal Strength (RSS) and maps it to the location in the room by estimating signal strength of a direct line of sight (LOS) signal and signal of the first order reflection from the wall. The algorithm is evaluated through both simulations and empirical measurements in a furnished open space office, sampling 21 different locations in the room. It is demonstrated the system can identify user’s real-time location with a maximum estimation error below 0.7 m for 80% confidence Cumulative Distribution Function (CDF) user level, demonstrating the ability to accurately estimate the receiver’s location within the room. The system is intended as a cost-efficient indoor localization technique, offering simplicity and easy integration with existing wireless communication systems. Unlike comparable single base station localization techniques, the proposed system does not require beam scanning, offering stable communication capacity while performing the localization process.
KW - Indoor localization
KW - Localization techniques
KW - Received signal strength
UR - http://www.scopus.com/inward/record.url?scp=85116959529&partnerID=8YFLogxK
U2 - 10.32604/cmc.2022.020781
DO - 10.32604/cmc.2022.020781
M3 - Article
AN - SCOPUS:85116959529
SN - 1546-2218
VL - 70
SP - 5437
EP - 5452
JO - Computers, Materials and Continua
JF - Computers, Materials and Continua
IS - 3
ER -