Fundamentals of Inertial Navigation Systems and Aiding

Michael Braasch

ISBN 10: 1839534125 / ISBN 13: 9781839534126

Published by Institution Of Engineering & Technology Mär 2023, 2023

About this Item

Neuware - This book provides an advanced introduction to inertial data processing along with design architectures and algorithms used to aid inertial navigation systems. The emphasis is on the high-end sensors and systems used in aerospace applications, but material is also included that provides an overview of low-cost sensor data processing.

Seller Inventory # 9781839534126

Bibliographic Details

• Title: Fundamentals of Inertial Navigation Systems and Aiding
• Publisher: Institution Of Engineering & Technology Mär 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 1839534125
• ISBN 13: 9781839534126
• Binding: Buch
• Condition: Neu
• Dimensions: 237W x 162H x 27D millimeters 237 millimeters width by 162 millimeters height by 27 millimeters depth
• Weight: 722 grams

About this title

Synopsis

The aim of this book is to provide an advanced introduction to inertial data processing (determination of attitude, velocity and position) along with design architectures and algorithms used to aid the inertial navigation system (INS). The emphasis is on the high-end sensors and systems used in aerospace applications (known as 'navigation grade' or 'nav grade').

The subject of inertial navigation systems and how to aid them (reduce their inherent error drift) is complex and multi-disciplinary. Mathematics and physics along with electrical, mechanical and software engineering all are involved. This book has been written to serve as an introduction for students and those new to the field. Specialized topics such as rotation matrices, quaternions and relevant stochastic processes are covered in the book. The reader is expected to have a basic understanding of vectors, matrices and matrix multiplication as well as freshman-level differential and integral calculus.

The basics of inertial position/velocity/attitude updating are first presented with respect to a conceptually simple inertially-fixed reference frame before the impact of the spheroidal rotating earth is covered. Similarly, the key concepts of the Kalman filter are first presented in the context of a scalar filter. Important aspects of the prediction error covariance and Kalman gain equations are thus covered in an intuitive sense before the full matrix formulations are described. By the end of the book, a thorough treatment of modern aided-INS architectures is provided.

About the Author

Michael Braasch holds the Thomas Professorship in the Ohio University School of Electrical Engineering and Computer Science and is a principal investigator with the Ohio University Avionics Engineering Center, USA. He has been performing navigation system research for over 35 years and has taught inertial navigation on-site for numerous manufacturers of navigation-grade inertial systems. He is an instrument-rated commercial pilot and is a fellow of IEEE and the US Institute of Navigation.