Evaluating performance of MEMS barometric sensors in differential altimetry systems

Micro-electro-mechanical-systems (MEMS) barometric sensors are extensively employed in positioning systems for the acquisition of altitude data. Confidence in their general approval on position location applications is due to the following reasons: A. the relatively high accuracy of vertical position measurements, which is constantly improved in the most recent commercial sensor devices; B. the inability of the allied—and dominant in outdoor environment— GPS and GNSS products to operate within buildings. Indicative examples of barometric altitude readings in consumer, medical, and aerospace applications [1] are as follows. Detecting floor [2] and mode of transition (i.e., elevators, escalators or stairs) [3] inside large buildings can be addressed for indoor navigation; Identifying human physical activities (e.g. sit-to-stand) [4] and falls [5] is able to provide telehealth solutions; Fusing information from barometric altimeters with GPS may improve performance of GPS-based landing systems [6], while the employment of two barometers in a system can be used for measuring the airplane position angles (e.g. pitch and roll) [7].

[1]  Dimosthenis E. Bolanakis,et al.  A prototype wireless sensor network system for a comparative evaluation of differential and absolute barometric altimetry , 2015, IEEE Aerospace and Electronic Systems Magazine.

[2]  Shau-Shiun Jan,et al.  Improving GPS-based landing system performance using an empirical barometric altimeter confidence bound , 2008, IEEE Transactions on Aerospace and Electronic Systems.

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

[4]  S. J. Redmond,et al.  Sensors-Based Wearable Systems for Monitoring of Human Movement and Falls , 2012, IEEE Sensors Journal.

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

[6]  Xiaogang Wang,et al.  Using Multiple Barometers to Detect the Floor Location of Smart Phones with Built-in Barometric Sensors for Indoor Positioning , 2015, Sensors.

[7]  Silvia Giordano,et al.  Using barometric pressure data to recognize vertical displacement activities on smartphones , 2016, Comput. Commun..

[8]  K Aminian,et al.  Suitability of commercial barometric pressure sensors to distinguish sitting and standing activities for wearable monitoring. , 2014, Medical engineering & physics.

[9]  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).