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Aided Navigation: GPS with High Rate Sensors [Hardcover]

Jay Farrell (Author)
4.4 out of 5 stars  See all reviews (7 customer reviews)

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Book Description

0071493298 978-0071493291 March 25, 2008 1

Design Cutting-Edge Aided Navigation Systems for Advanced Commercial & Military Applications

Aided Navigation is a design-oriented textbook and guide to building aided navigation systems for smart cars, precision farming vehicles, smart weapons, unmanned aircraft, mobile robots, and other advanced applications. The navigation guide contains two parts explaining the essential theory, concepts, and tools, as well as the methodology in aided navigation case studies with sufficient detail to serve as the basis for application-oriented analysis and design.

Filled with detailed illustrations and examples, this expert design tool takes you step-by-step through coordinate systems, deterministic and stochastic modeling, optimal estimation, and navigation system design. Authoritative and comprehensive, Aided Navigation features:

  • End-of-chapter exercises throughout Part I
  • In-depth case studies of aided navigation systems
  • Numerous Matlab-based examples
  • Appendices define notation, review linear algebra, and discuss GPS receiver interfacing
  • Source code and sensor data to support examples is available through the publisher-supported website

Inside this Complete Guide to Designing Aided Navigation Systems

• Aided Navigation Theory: Introduction to Aided Navigation • Coordinate Systems • Deterministic Modeling • Stochastic Modeling • Optimal Estimation • Navigation System Design • Navigation Case Studies: Global Positioning System (GPS) • GPS-Aided Encoder • Attitude and Heading Reference System • GPS-Aided Inertial Navigation System (INS) • Acoustic Ranging and Doppler-Aided INS

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Customers buy this book with Understanding GPS: Principles and Applications, Second Edition $101.33

Aided Navigation: GPS with High Rate Sensors + Understanding GPS: Principles and Applications, Second Edition
Price For Both: $186.37

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Editorial Reviews

About the Author

About the Author Jay A. Farrell, Ph.D., is a Professor and former Chair of the Department of Electrical Engineering at the University of California, Riverside. Dr. Farrell is the author of over 150 technical publications, as well as co-author of the books, Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches and McGraw-Hill's The Global Positioning System and Inertial Navigation.

Product Details

  • Hardcover: 530 pages
  • Publisher: McGraw-Hill Professional; 1 edition (March 25, 2008)
  • Language: English
  • ISBN-10: 0071493298
  • ISBN-13: 978-0071493291
  • Product Dimensions: 8.3 x 7.4 x 1.3 inches
  • Shipping Weight: 1.9 pounds (View shipping rates and policies)
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #740,222 in Books (See Top 100 in Books)

More About the Author

"Jay A. Farrell received B.S. degrees (1986) in physics and electrical engineering from Iowa State University, and M.S. (1988) and Ph.D. (1989) degrees in electrical engineering from the University of Notre Dame. At Charles Stark Draper Lab (1989-1994), he was principal investigator on projects involving intelligent and learning control systems for autonomous vehicles. Dr. Farrell received the Engineering Vice President's Best Technical Publication Award in 1990, and Recognition Awards for Outstanding Performance and Achievement in 1991 and 1993. He is a Professor and former Chair of the Department of Electrical Engineering at the University of California, Riverside. As of 2006, he was author of over 120 technical publications. He is also co-author of the books ""The Global Positioning System and Inertial Navigation"" (McGraw-Hill, 1998) and ""Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches"" (John Wiley 2006). He is an active participant in the Control Systems Society of the IEEE."

 

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Average Customer Review
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4 of 4 people found the following review helpful:
5.0 out of 5 stars Farrell is the Sherpa of Aided Navigation, May 6, 2008
This review is from: Aided Navigation: GPS with High Rate Sensors (Hardcover)
After struggling through countless articles with a myriad of approaches to fusing GPS receiver data with vehicle sensors (wheel encoders, accelerometers, gyroscopes, etc.), I started to notice how often references to work by Farrell showed up in the higher quality articles. That led me to buying his latest book, Aided Navigation.

Aided Navigation lays out Farrell's way of designing positioning systems. His designs take a subsystem formed through integration of several sensors that give good short term changes in state (e.g. position changes from inertial sensors) and aid it with one or more complimentary subsystems that do better at following the state over a longer time period (e.g. GPS receiver output.) This is a fairly classical approach, but his survey of the prerequisite theory and explanation of the finer implementation details is refreshingly well-organized.

In Part I, he builds up the analytical tools needed to rigorously execute his design methodology. It includes lots of simple examples along the way. Part II is a catalog of detailed real-world designs.

I like how the whole text coheres around derivation and demonstration of a particular design methodology. You get the feeling that he's built systems that had to work in the real world and not just on paper. Although he does outline a recipe for analyzing these sorts of systems, his theoretical depth and copious reference list saves the book from being an unthinking cookbook. It has helped me decode a lot of positioning articles I've read and given me a good 'reference trajectory' for my own design journey.

If I had to keep just two positioning references on my bookshelf, this would be one and Dan Simon's _Optimal State Estimation_ would be the other (not counting my linear algebra, physics, and calculus textbooks.)
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4 of 4 people found the following review helpful:
5.0 out of 5 stars Excellent book for self-study, May 5, 2008
This review is from: Aided Navigation: GPS with High Rate Sensors (Hardcover)
When attempting to learn a subject like GPS-aided navigation it becomes immediately apparent that there are few references with practical, less than trivial problems and exercises to reinforce the material. This book is an exception. It contains excellent exercises and a website with down-loadable MATLAB/SIMULINK code. The text is clear and very readable.
The appendix on Euler and quaternion kinematic rate equations is quite exceptional. This book is first-rate.
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1 of 1 people found the following review helpful:
5.0 out of 5 stars Very helpful especially for navigation engineer, May 31, 2008
This review is from: Aided Navigation: GPS with High Rate Sensors (Hardcover)
I am an electrical engineer working for several navigation project. I am always struggling for long time to seek a good book on this application field. When I read several chapters of this book, I know that I found the right book. This book talks from some fundamental theory to high level application. Also it gives a lot of practical examples dedicated to navigation project. I am very happy to have this book and will use it as a guide in navigation area.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
user equivalent range error, vertical error dynamics, navigation mechanization equations, estimator design model, complementary filter approach, aiding measurements, aiding sensors, process driving noise, state estimation gain, baseline transponders, covariance analysis results, aiding signal, navigation system design, aided navigation systems, pseudorange observable, error state vector, integer ambiguity resolution, specific force vector, driving noise terms, covariance propagation equations, error budget analysis, aided inertial navigation, suboptimal filtering, position estimation accuracy, complementary filtering
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Exercises Exercise, Monte Carlo, User Range Error, Subtracting Eqn
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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