Ebook Aided Navigation: GPS with High Rate Sensors, by Jay A. Farrell
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Aided Navigation: GPS with High Rate Sensors, by Jay A. Farrell
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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- Sales Rank: #861660 in Books
- Brand: Jay A Farrell
- Published on: 2008-04-15
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x 1.31" w x 6.30" l, 1.91 pounds
- Binding: Hardcover
- 530 pages
- Aided Navigation GPS with High Rate Sensors
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.
Most helpful customer reviews
3 of 4 people found the following review helpful.
Try Groves instead
By Damien
There's nothing really wrong with this book. The layout is logical. The chapters are well organised, although there is some to-and-fro between the self-alignment and AHRS chapters. There is example code that seems to work (except, of course, for the really important chapters).
The problem is, Groves (Principles of GNSS, Inertial, and Multi-Sensor Integrated Navigation Systems (GNSS Technology and Applications)) does it better, more logically and, as a practitioner, more useful in implementing a GPS/INS system.
It does do some things better than Groves: it introduces Doppler radar, barometric measurements and other sensors and shows how they can be put into the framework. It also does quaternions, something barely addressed in Groves.
However, from a practitioner's point of view, the "advantage" of leaving the rotation description as neutral makes the presentation more difficult to follow. Groves sticks to DCM for the sake of clarity and it pulls off.
2 of 3 people found the following review helpful.
a second edition would have been better
By David Arp
The book isn't as easy to handle as Farrell's "The Global Positioning System & Inertial navigation". A revised edition of this latter book would have been better; there are a lot of mistakes to correct. Still the current book and its precessor are good references for aided inertial navigation.
4 of 4 people found the following review helpful.
Farrell is the Sherpa of Aided Navigation
By J. Covalesky
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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