A prototype wireless sensor network system for a comparative evaluation of differential and absolute barometric altimetry

This article presents data analysis derived from a prototype wireless sensor network system, which was developed to evaluate the influence of barometric pressure variations on height measurements. Data analysis explores height accuracy of differential barometric altimetry compared with the absolute barometric altimetry approach. In the former case, two equivalent and custom-made altimeters are synchronized for the simultaneous acquisition of atmospheric pressure with 300 ms sampling interval. In the latter case, height is determined using the same pressure data obtained from the rover-in the system-altimeter. As regards differential barometric altimetry, the authors address a simple setup in order to explore sensors' output deviation under the same conditions (i.e., pressure, temperature, etc.), as well as evaluate the subsequent effect on height measurement error. The experimental setup exploits the wireless feature of the proposed system for the acquisition of pressure measurements within an airtight enclosure with vacuum pump for changing the pressure threshold.

[1]  Wang Tang,et al.  Barometric altimeter short-term accuracy analysis , 2005, IEEE Aerospace and Electronic Systems Magazine.

[2]  Horst Hellbrück,et al.  Evaluation of radio based, optical and barometric localization for indoor altitude estimation in medical applications , 2014, 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[3]  Sergiusz Łuczak Single-Axis Tilt Measurements Realized by Means of MEMS Accelerometers , 2011 .

[4]  Gérard Lachapelle,et al.  Indoor Positioning System Using Accelerometry and High Accuracy Heading Sensors , 2003 .

[5]  Pavel Paces,et al.  Performance evaluation of two altimeters intended for euler angles measurement , 2013, 2013 IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC).

[6]  Günther Retscher,et al.  NAVIO – A Navigation and Guidance Service for Pedestrians , 2004 .

[7]  Thomas Gallagher,et al.  Using barometers to determine the height for indoor positioning , 2013, International Conference on Indoor Positioning and Indoor Navigation.

[8]  Valérie Renaudin,et al.  Design and Testing of a Multi-Sensor Pedestrian Location and Navigation Platform , 2012, Sensors.

[9]  Stefan Sassen,et al.  Flight Control of Micro Aerial Vehicles , 2004 .

[10]  Henk Luinge,et al.  Drift-free dynamic height sensor using MEMS IMU aided by MEMS pressure sensor , 2008, 2008 5th Workshop on Positioning, Navigation and Communication.

[11]  J. Collin,et al.  Differential barometry in personal navigation , 2008, 2008 IEEE/ION Position, Location and Navigation Symposium.

[12]  Franz Franchetti,et al.  Barometric and GPS altitude sensor fusion , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[13]  Jian Wang,et al.  Differential Barometric Altimetry Assists Floor Identification in WLAN Location Fingerprinting Study , 2014, Principle and Application Progress in Location-Based Services.

[14]  Pavel Paces,et al.  Pressure based reference system for aircraft attitude measurement , 2013, 2013 IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC).

[15]  Jung Soon Jang,et al.  Automation of Small UAVs using a Low Cost Mems Sensor and Embedded Computing Platform , 2006, 2006 ieee/aiaa 25TH Digital Avionics Systems Conference.

[16]  Günther Retscher Altitude Determination of a Pedestrian in a Multistorey Building , 2007, Location Based Services and TeleCartography.