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MEMS-based Integrated Navigation

MEMS-based Integrated Navigation

Copyright: 2010
Pages: 208
ISBN: 9781608070435

Print Book $39.00 Qty:
eBook $131.00 Qty:
Due to their micro-scale size and low power consumption, 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.
Preface ; Microelectromechanical Systems (MEMS) -Introduction. Different Applications of MEMS Devices. Aided MEMS-Based Inertial Navigation. ; MEMS Inertial Sensors -Introduction. Accelerometers. Gyroscopes. MEMS Inertial Sensors for the Most Economical Land Navigation. Method to Compute Minimum Sensors. Results and Analysis. ; MEMS Inertial Sensors Errors -Introduction. Systematic Errors. Calibration of Systematic Sensor Errors. Random/Stochastic Errors. Stochastic Modeling. Sensors Measurement Models. ; Initial Alignment of MEMS Sensors -Introduction. Considerations for MEMS Sensor Navigation. Portable Navigation System. Economical Considerations. Absolute Alignment. Velocity Matching Alignment. Transfer Alignment. ; Navigation Equations -IntroductionMathematical Relations and Transformations Between Frames. Motion Modeling in the l-Frame. Solving Mechanization Equations. ; Aiding MEMS-Based INS -Introduction.Introduction to Kalman Filter. Kalman Filter Algorithm.Introduction to Extended Kalman Filter.; Artificial Neural Networks -Introduction. Types of ANNs. Whole Navigation States Architecture. Navigation Error States Architecture. ; Particle Filters -Introduction. The Monte Carlo Principle. Importance Sampling Method. Resampling Methods. Basic Particle Filters. Types of Particle Filters. Hybrid Extended Particle Filter. ; Appendix. About the Authors. Index ;
  • Priyanka Aggarwal 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.
  • Naser El-Sheimy Naser El-Sheimy is professor in Geomatics Engineering at the University of Calgary, Canada, and is the Canada Research Chair in mobile multi-sensor geomatics (M2G) Systems. He received his Ph.D. in geomatics engineering from the University of Calgary.
  • Aboelmagd Noureldin 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.
  • Zainab Syed 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.
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