Paper Info
Title
A 3-D Indoor Positioning System Using Asymmetry Double-Sided Two-Way Ranging And Chan Assisted Extended Kalman Filter
Abstract
In this paper, a three-dimensional (3-D) indoor positioning system (IPS) is designed to realize positioning target, by taking advantage of high precision ranging of Ultra-wide bandwidth (UWB) sensor. The 3-D IPS is composed of UWB sensor, Wireless Fidelity (Wi-Fi) module and Control Station where the proposed algorithm is running to calculate the position of the moving target. To reduce ranging time as well as clock bias of UWB sensor, the Asymmetry Double-Sided Two-Way Ranging (ADS-TWR) algorithm is proposed. Then, according to the Time Difference of Arrival (TDoA) model, we obtain the TDoA equation. Furthermore, by taking advantage of the ability of quickly getting estimation location of the Chan algorithm and the ability of filtering noise and interference of Extended Kalman filter (EKF), Chan-EKF algorithm is proposed to accurately estimate the 3-D locations of moving target. Experimental and simulation results show that the developed IPS applying with the proposed ADS-TWR algorithm as well as the Chan-EKF algorithm can achieve faster and more accurate position estimations.
Year
DOI
Venue
2018
10.1109/WCSP.2018.8555619
2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)
Keywords
Field
DocType
the 3-D indoor localization system,UWB,ADS-TWR,Chan-EKF
Extended Kalman filter,Computer science,Filter (signal processing),Algorithm,Real-time computing,Kalman filter,Ranging,Bandwidth (signal processing),Interference (wave propagation),Multilateration,Indoor positioning system
Conference
ISSN
ISBN
Citations 
2325-3746
978-1-5386-6120-8
2
PageRank 
References 
Authors
0.40
5
6
Name
Order
Citations
PageRank
Chao Qian197.26
Weiwei Xia22814.30
Wenqing Cui320.40
Zhuorui Lan420.40
Feng Yan57313.36
Lianfeng Shen651765.25