MEMS-Based Integrated Navigation

MEMS-Based Integrated Navigation

ISBN-10:
1608070433
ISBN-13:
9781608070435
Pub. Date:
08/31/2010
Publisher:
Artech House, Incorporated
MEMS-Based Integrated Navigation

MEMS-Based Integrated Navigation

Hardcover

$131.0
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Overview

Due to the micro-scale size and low power consumption of Microelectromechanical systems (MEMS) are now being utilized in a variety of fields. This leading-edge resource focuses on the application of MEMS inertial sensors to navigation systems. The book shows you how to minimize cost by adding and removing inertial sensors. Moreover, this practical reference provides you with various integration strategies with examples from real field tests. From an introduction to MEMS navigation related applications? to special topics on Alignment for MEMS-Based Navigation? to discussions on the Extended Kalman Filter, this comprehensive book covers a wide range of critical topics in this fast-growing area.


Product Details

ISBN-13: 9781608070435
Publisher: Artech House, Incorporated
Publication date: 08/31/2010
Series: GNSS Technology and Applications
Pages: 210
Product dimensions: 6.10(w) x 9.10(h) x 0.70(d)

About the Author

Priyanka Aggarwal worked as a research consultant in the Department of Mechanical Engineering at the University of Michigan. She received her Ph.D. in INS/GPS integration (Department of Geomatics Engineering) and M.Sc. in Electrical and Computer engineering from the University of Calgary. Zainab Syed is VP Technology at Trusted Positioning Inc. She earned her M.Sc. in Electrical and Computer engineering and a Ph.D. in personal navigation systems from the University of Calgary. Naser El-Sheimy is professor in the Department of Geomatics Engineering at the University of Calgary. He received his Ph.D. in Geomatics engineering from the University of Calgary. Aboelmagd Noureldin is a cross-appointment associate professor in the Department of Electrical and Computer engineering at Queens's University and also an associate professor in the Department of Electrical and Computer engineering at the Royal Military College of Canada. He holds a Ph.D. in Electrical and Computer engineering from the University of Calgary.

Table of Contents

Microelectromechanical Systems (MEMS) Technology. MEMS Inertial Sensors. MEMS Inertial Sensors Errors. Initial Alignment of MEMS Sensors. Navigation Equations. Aiding MEMS-Based INS.

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