Positioning Using Terrestrial Multipath Signals and Inertial Sensors
Joint Authors
Jost, Thomas
Gentner, Christian
Zhang, Siwei
Ulmschneider, Markus
Pöhlmann, Robert
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-02
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Telecommunications Engineering
Abstract EN
This paper extends an algorithm that exploits multipath propagation for position estimation of mobile receivers named Channel-SLAM.
Channel-SLAM treats multipath components (MPCs) as signals from virtual transmitters (VTs) and estimates the positions of the VTs simultaneously with the mobile receiver positions.
For Channel-SLAM it is essential to obtain angle of arrival (AoA) measurements for each MPC in order to estimate the VT positions.
In this paper, we propose a novel Channel-SLAM implementation based on particle filtering which fuses heading information of an inertial measurement unit (IMU) to omit AoA measurements and to improve the position accuracy.
Interpreting all MPCs as signals originated from VTs, Channel-SLAM enables positioning also in non-line-of-sight situations.
Furthermore, we propose a method to dynamically adapt the number of particles which significantly reduces the computational complexity.
A posterior Cramér-Rao lower bound for Channel-SLAM is derived which incorporates the heading information of the inertial measurement unit (IMU).
We evaluate the proposed algorithm based on measurements with a single fixed transmitter and a moving pedestrian carrying the receiver and the IMU.
The evaluations show that accurate position estimation is possible without the knowledge of the physical transmitter position by exploiting MPCs and the heading information of an IMU.
American Psychological Association (APA)
Gentner, Christian& Pöhlmann, Robert& Ulmschneider, Markus& Jost, Thomas& Zhang, Siwei. 2017. Positioning Using Terrestrial Multipath Signals and Inertial Sensors. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1189252
Modern Language Association (MLA)
Gentner, Christian…[et al.]. Positioning Using Terrestrial Multipath Signals and Inertial Sensors. Mobile Information Systems No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1189252
American Medical Association (AMA)
Gentner, Christian& Pöhlmann, Robert& Ulmschneider, Markus& Jost, Thomas& Zhang, Siwei. Positioning Using Terrestrial Multipath Signals and Inertial Sensors. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1189252
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189252