Micro Electro Mechanical System (MEMS) based Pressure Sensor in Barometric Altimeter
|
Full Text(PDF, 3000) PP.
|
|
Author(s) |
Manikandan, K.A. Karthigeyan and K. Immanuvel Arokia James |
|
KEYWORDS |
Micro Electro Mechanical System, Barometric Altimeter
|
|
ABSTRACT |
Barometer is a well-organized tool for determining atmospheric pressure. The altimeter is a tool which calculates the vertical distance in accordance with a reference level. The barometric altimeter, computes the altitude according to the atmospheric pressure. Accuracy and size are the major issues in altimetry. On the other hand the present day altimeters employing conventional pressure sensors consume more floor space and provide very less accuracy. To resolve this problem, in this paper implemented a Micro Electro Mechanical System (MEMS) based pressure sensor in the design of barometric altimeter. MEMS are a class of systems that shares the existence of micro machined parts having both electrical and mechanical components incorporated on a single chip. MEMS pressure sensor guarantees higher degree of accuracy and reliability. These MEMS based barometric altimeter system operates with high sensitivity in the pressure. A temperature sensor is interfaced with the system so as to implement the dynamic temperature profiling approach as an attempt to eliminate the temperature dependent errors prevailing in the present day standard temperature profiled altimeters. MEMS based Barometric Altimeter is implemented using the following two modules: Embedded Module and Simulation Module. Even though the size of the MEMS based Barometric Altimeter is reduced, it provides more accuracy.
|
|
References |
|
[1] C.E. Lin, W.C. Huang, C.W. Hsu and C.C. Li,
“Electronic barometric altimeter in real time
correction,” IEEE/AIAA 27th Digital Avionics
Systems Conference (DASC), Pp. 6.A.3-1 - 6.A.3-6,
2008.
[2] Zichen Zhu, Shenshu Xiong and Zhaoying Zhou, “A
micro barometric altimeter with applications in
altitude-holding flight control for MAVs,”
Proceedings of the 21st IEEE Instrumentation and
Measurement Technology Conference (IMTC), Vol.
2, Pp. 1039 – 1041, 2004.
[3] M. Tanigawa, H. Luinge, L. Schipper and Slycke,
“Drift-free dynamic height sensor using MEMS IMU
aided by MEMS pressure sensor,” 5th Workshop on
Positioning, Navigation and Communication
(WPNC), Pp. 191 – 196, 2008.
[4] Qiang Zhou and Yabin Liu, “Novel barometric
altimeter system for vehicular testing of SINS,” 9th
International Conference on Electronic Measurement & Instruments (ICEMI '09), Vol. 2, Pp. 491 – 493,
2009.
[5] R. Govindan, R. Kumar, S. Basu and A. Sarkar,
“Altimeter-Derived Ocean Wave Period Using
Genetic Algorithm,” IEEE Geoscience and Remote
Sensing Letters, Vol. 8, No. 2, Pp. 354 – 358, 2011.
[6] Shau-Shiun Jan , D. Gebre-Egziabher, T. Walter and
P. Enge, “Improving GPS-based landing system
performance using an empirical barometric altimeter
confidence bound,” IEEE Transactions on Aerospace
and Electronic Systems, Vol. 44, No. 1, Pp. 127 – 146,
2008.
[7] R.K. Raney and Leuschen, “Simultaneous laser and
radar altimeter measurements over land and sea
ice,” IEEE International Geoscience and Remote
Sensing Symposium (IGARS), Vol. 1, 2004.
[8] Wang Tang, G. Howell and Yi-Hsueh Tsai,
“Barometric altimeter short-term accuracy analysis,”
IEEE Aerospace and Electronic Systems Magazine,
Vol. 20, No. 12, Pp. 24 – 26, 2005.
[9] D. Vandemark, H. Feng and R. Scharroo,
“Investigating ocean altimeter data and applications
in the Gulf of Maine,” IEEE International Geoscience
and Remote Sensing Symposium (IGARSS), Vol. 3,
Pp. 573– 576, 2008.
[10] B.Y. Grishechkin and A.I. Baskakov, “Optimal
algorithms for spaceborne altimeter,” IEEE
International Geoscience and Remote Sensing
Symposium (IGARSS), Pp. 640 – 642, 2010.
[11] M.P. Makynen and M.T. Hallikainen, “Simulation of
ASIRAS Altimeter Echoes for Snow-Covered First-
Year Sea Ice,” IEEE Geoscience and Remote Sensing
Letters, Vol. 6, No. 3, Pp. 486 – 490, 2009.
[12] Li, Hui Zhao, Yunting Zhang and Xinghui,
“Research of Data Fusion Algorithm of GPS and
Baro-Altimeter,” International Conference on
Machine Vision and Human-Machine Interface
(MVHI), Pp. 45 – 47, 2010.
[13] L. Phalippou and V. Enjolras, “Re-tracking of SAR
altimeter ocean power-waveforms and related
accuracies of the retrieved sea surface height,
significant wave height and wind speed,” IEEE
International Geoscience and Remote Sensing
Symposium (IGARSS), Pp. 3533 – 3536, 2007.
[14] C. Martin-Puig, G. Ruffini, J. Marquez, D. Cotton, M.
Srokosz, P. Challenor, K. Raney and J. Benveniste,
“Theoretical Model of SAR Altimeter over Water
Surfaces,” IEEE International Geoscience and
Remote Sensing Symposium (IGARSS), Vol. 3, Pp.
242 – 245, 2008.
[15] Xu Xi-Yu and Liu He-Guang, “An innovative
algorithm for radar altimeter acceleration bias
compensation,” IEEE International Geoscience and
Remote Sensing Symposium (IGARSS), Pp. 3829 –
3831, 2007.
[16] E. Rodriguez and B. Pollard, “Centimetric sea surface
height accuracy using the Wide-Swath Ocean
altimeter,” IEEE International Geoscience and
Remote Sensing Symposium (IGARSS), Vol. 5, Pp.
3011 – 3013, 2003.
[17] P. Pieters, D. Qi and A. Witvrouw, “Integration and
Packaging MEMS Directly Above Active CMOS,”
International Symposium on High Density
packaging and Microsystem Integration (HDP), Pp.
1, 2007.
[18] P. Pieters, “Versatile MEMS and mems integration
technology platforms for cost effective MEMS
development,” European Microelectronics and
Packaging Conference (EMPC), Pp. 1 – 5, 2009.
[19] Y.C. Lee, “Packaging and Microelectromechanical
Systems (MEMS),” 8th International Conference on
Electronic Packaging Technology (ICEPT), Pp. 1 – 5,
2007.
[20] Qun Wul, Bo-Shi Jin, Xun-Jun He, Kai Tang, Fang
Zhang and Jong-Chul Lee, “On-wafer level
packaging of RF MEMS devices for Ka-band
applications,” Asia-Pacific Microwave Conference
(APMC), Pp. 389 – 394, 2006.
[21] B.B. Mohr and D.L. Fitzpatrick, “Micro air vehicle
navigation system,” IEEE Aerospace and Electronic
Systems Magazine, Vol. 23, No. 4, Pp. 19 – 24, 2008.
|
|
|