Conference item icon

Conference item

Reducing Magneto-Inductive Positioning Errors in a Metal-Rich Indoor Environment

Abstract:

Ferrous objects distort magnetic fields and can significantly increase magneto-inductive positioning errors in indoor environments. In this work, we use image theory in order to formulate an analytical channel model for the magnetic field of a quasi-static magnetic dipole positioned above a perfectly conducting half-space. The proposed model can be used to compensate for the distorting effects that metallic reinforcement bars (rebars) impose on the magnetic field of a magneto-inductive transm...

Expand abstract
Publication status:
Published
Peer review status:
Reviewed (other)

Actions


Access Document


Files:
Publisher copy:
10.1109/ICSENS.2015.7370199

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More from this funder
Name:
Engineering and Physical Sciences Research Council
Grant:
EP/M017583/1
Publisher:
Institute of Electrical and Electronics Engineers
Host title:
2015 IEEE SENSORS Proceedings
Journal:
IEEE Sensors 2015 More from this journal
Publication date:
2016-01-07
Acceptance date:
2015-09-01
Event location:
Busan, Korea
DOI:
ISBN:
9781479982028
Pubs id:
pubs:580212
UUID:
uuid:084a26e3-4bea-434e-b887-13972e21b9aa
Local pid:
pubs:580212
Source identifiers:
580212
Deposit date:
2015-12-18

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP