TY - GEN
T1 - Multi-Source Data Fusion Method for Indoor Localization System
AU - Cui, Jishi
AU - Li, Bin
AU - Yang, Lyuxiao
AU - Wu, Nan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8/9
Y1 - 2020/8/9
N2 - In this paper, a multi-source data fusion method for indoor localization system is designed to realize the high-accuracy locations. The indoor localization system consists of WiFi nodes, ultra-wideband (UWB) nodes and inertial measurement unit (IMU), where the IMU is integrated in a android smartphone. For our indoor localization system, there include two stages: offline stage and online stage. In the offline stage, we use crowdsourcing method to train a fingerprint database, which can be constructed at a low labor cost. In the online stage, particle filter to estimate the locations based on WiFi received signal strengths, UWB rangings, and IMU data. Experimental results show that our indoor localization system based on the multi-source data fusion method expands the coverage and improves the localization accuracy.
AB - In this paper, a multi-source data fusion method for indoor localization system is designed to realize the high-accuracy locations. The indoor localization system consists of WiFi nodes, ultra-wideband (UWB) nodes and inertial measurement unit (IMU), where the IMU is integrated in a android smartphone. For our indoor localization system, there include two stages: offline stage and online stage. In the offline stage, we use crowdsourcing method to train a fingerprint database, which can be constructed at a low labor cost. In the online stage, particle filter to estimate the locations based on WiFi received signal strengths, UWB rangings, and IMU data. Experimental results show that our indoor localization system based on the multi-source data fusion method expands the coverage and improves the localization accuracy.
KW - Indoor localization
KW - crowdsourcing method
KW - multi-source data fusion
KW - particle filter
UR - http://www.scopus.com/inward/record.url?scp=85097552087&partnerID=8YFLogxK
U2 - 10.1109/ICCC49849.2020.9238826
DO - 10.1109/ICCC49849.2020.9238826
M3 - Conference contribution
AN - SCOPUS:85097552087
T3 - 2020 IEEE/CIC International Conference on Communications in China, ICCC 2020
SP - 29
EP - 33
BT - 2020 IEEE/CIC International Conference on Communications in China, ICCC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE/CIC International Conference on Communications in China, ICCC 2020
Y2 - 9 August 2020 through 11 August 2020
ER -