Title
Barometric and GPS altitude sensor fusion
Abstract
The altitude of a moving vehicle as reported by GPS suffers from intermittent errors caused by temporary obstruction of the satellites by buildings, mountains, etc. Additionally, it is affected by systematic errors caused by multipath effects, ionospheric and tropospheric effects, and other hardware design limitations and natural factors. Atmospheric pressure, measured by a portable barometric sensor, could also be used to determine altitude, is not susceptible to problems caused by obstruction of satellites, and can provide reliable measurements outdoors even in urban and mountainous regions. In this paper, we propose an algorithm which improves accuracy and provides tighter confidence bounds of altitude measurements from a mobile phone (or any device equipped with GPS and barometric sensors) by means of sensor fusion techniques without the need for calibration. Our experiments have shown that the proposed algorithm provides more accurate measurements with tighter confidence bounds compared to using either of the two sensors, barometric or GPS, alone.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6855063
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
Global Positioning System,atmospheric pressure,height measurement,mobile satellite communication,sensor fusion,smart phones,vehicles,GPS altitude sensor fusion,altitude measurements,atmospheric pressure,barometric altitude sensor fusion,buildings,hardware design limitations,intermittent errors,ionospheric effects,mobile phone,mountains,moving vehicle altitude,multipath effects,natural factors,portable barometric sensor,reliable measurements outdoors,satellites temporary obstruction,systematic errors,tropospheric effects,GPS,altitude,barometric,sensor fusion
Multipath propagation,Satellite,Computer science,Troposphere,Altitude,Sensor fusion,Atmospheric pressure,Global Positioning System,Geodesy,Calibration
Conference
ISSN
Citations 
PageRank 
1520-6149
2
0.42
References 
Authors
0
2
Name
Order
Citations
PageRank
Vadim Zaliva120.76
Franz Franchetti297488.39