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Discrete digital filter design for microelectromechanical systems (MEMS) accelerometers and gyroscopes

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Date Issued:
2010
Summary:
Microelectromechanical systems (MEMS) accelerometers and gyroscopes are small scale sensors that measure changes in linear acceleration and rotational velocity, respectively. They are fabricated using electronic circuit techniques such as etching and deposition. MEMS motion sensors can be used in an Inertial Measurement Unit (IMU) that can be integrated with the Global Positioning System (GPS) to make a navigation system that is more accurate than each system alone. However, since MEMS-based IMUs are inherently noisy, we must overcome inaccuracies caused by the integration of random noise to find position. Accuracy can be increased by applying digital filters to the data before integration. Comparing the success of finite impulse response (FIR) filters and infinite impulse response (IIR) filters, we found that even though our highest order FIR filter yielded the most accurate position, it was limited by an offset bias in the accelerometer signal and a time delay in the determined position.
Title: Discrete digital filter design for microelectromechanical systems (MEMS) accelerometers and gyroscopes.
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Name(s): Martin, Madison E.
Harriet L. Wilkes Honors College
Type of Resource: text
Genre: Thesis
Issuance: multipart monograph
Date Issued: 2010
Publisher: Florida Atlantic University
Physical Form: electronic resource
Extent: vii, 58 p. : ill. (some col.)
Language(s): English
Summary: Microelectromechanical systems (MEMS) accelerometers and gyroscopes are small scale sensors that measure changes in linear acceleration and rotational velocity, respectively. They are fabricated using electronic circuit techniques such as etching and deposition. MEMS motion sensors can be used in an Inertial Measurement Unit (IMU) that can be integrated with the Global Positioning System (GPS) to make a navigation system that is more accurate than each system alone. However, since MEMS-based IMUs are inherently noisy, we must overcome inaccuracies caused by the integration of random noise to find position. Accuracy can be increased by applying digital filters to the data before integration. Comparing the success of finite impulse response (FIR) filters and infinite impulse response (IIR) filters, we found that even though our highest order FIR filter yielded the most accurate position, it was limited by an offset bias in the accelerometer signal and a time delay in the determined position.
Identifier: 779480719 (oclc), 3335110 (digitool), FADT3335110 (IID), fau:1408 (fedora)
Note(s): by Madison E. Martin.
Thesis (B.A.)--Florida Atlantic University, Honors College, 2010.
Includes bibliography.
Electronic reproduction. Boca Raton, Fla., 2010. Mode of access: World Wide Web.
Subject(s): Microelectromechanical systems -- Design and construction
Signal processing -- Digital techniques
Electric filters, Digital -- Design and construction
Held by: FBoU FAUER
Persistent Link to This Record: http://purl.flvc.org/FAU/3335110
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Host Institution: FAU

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