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Kalman Filter for Beginners: with MATLAB Examples (Englisch) Taschenbuch – 12. Juli 2011


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Phil Kim received all the degrees (BS, MS, and PhD) in Aerospace Engineering from Seoul National University. After his education, he worked at Korea Aerospace Research Institute as a Senior Researcher. There, his main task was to develop autonomous flight algorithm and onboard software for unmanned aerial vehicle. An on-screen keyboard program named 'Clickey' developed by him during his period in PhD program served as a bridge to bring the author currently being a Senior Research Officer at National Rehabilitation Research Institute of Korea.

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Amazon.com: 23 Rezensionen
9 von 10 Kunden fanden die folgende Rezension hilfreich
Big Thanks for the Author 23. August 2011
Von Morsi - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
i'm so glad to be the first to review this wonderful book, and be the first to thank the author Phil Kim and the translator Lynn Huh, thank you guys.
the book has very practical examples implemented in matlab .m files for simulation, which i guess that this is the best way to bring the subject to life
and will enable students visualize what's going on.
examples that are included, attitude determination with Gyros and accelerometers and radar tracking.
so you should be able to get a good idea of real life implementation.

like the author said, people who will start learn the subject by learning the mathematics involved shall be probably intimidated, and i can't agree more.
the author approaches the subject from implementation point of view, because i guess to implement the kalman filter is much easier than understanding the derivation of the filter, then after you understand how to use it and play with it, most probably the learning the math should be much easier.

recommended books to supplement this book:
1- "Fundamentals of Kalman filtering: a practical approach" by Paul Zarchan is an excellent book on the subject and some how has same approach like this book, but it is a humongous book.
2- "optimal state estimation" by Dan Simon, very mathematical and requires strong math muscles.
3-if you are after theory, steven Kay's series of books are a good start point.

at the end this is an excellent pedagogical book and i am sure it is going to be a best selling among its peers.
to make this review helpful for others, i would like to invite you to watch those motivating videos:
[...]

[...]
bottom line:
highly recomended for any body who really wants to learn how to apply kalman filter and get a smooth ride introduction.
good luck.
6 von 6 Kunden fanden die folgende Rezension hilfreich
Excellent introduction 15. April 2012
Von devgru - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
This is a very good introduction and the MATLAB examples clarify things a great deal. Some of the key concepts are repeated and within a day or two its fairly easy to get a conceptual understanding of the Kalman Filter. You can easily read this book a couple times within a week...its that easy of a read. The only annoying thing is the translation...its pretty clear that the translator didnt have a strong grasp of English grammar but he gets his point across.

With that said...if you really want to understand and use the Kalman filter you are probably going to want to learn the mathematical theory behind it.
5 von 5 Kunden fanden die folgende Rezension hilfreich
Kalman filtering made simple. 18. Februar 2012
Von Kenneth C. Crandall - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
A very comfortable read for me. The author gives the 50,000 foot perspective first and then drills into the details of Kalman filtering with clear examples. This certainly beats most expositions that force the reader to get the big picture after much grappling with details; often with no clear examples, just mathematical proofs. I highly recommend this book. The "Korenglish" is amusing. The asides on "isn't this easy" let me know that the author must have had his own initial frustrations with the topic!
3 von 3 Kunden fanden die folgende Rezension hilfreich
This book does not provide any development of Kalman filtering 10. Oktober 2014
Von Erric - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
This book does not provide any development of Kalman filtering. From this book, you never learn how a Kalman filter is derived. Seriously, if you want to learn Kalman filter, you can get nothing from it.

The book just lists all formula of Kalman filters, followed by some explanations on these formula, and then list some Matlab codes. That's that.

The book may be somewhat useful for you to understand Kalman filters, but these stuff can be found from any excellent Kalman filtering books. Besides, the book is toooooo expensive. Absolutely overpriced.

Never, never buy this book, unless you are rich.
3 von 3 Kunden fanden die folgende Rezension hilfreich
Excellenet book for beginners! 18. Februar 2013
Von just_me - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
The book is perfect for beginners to understand Kalman Filtering. The explanation is very good.
The translation is not perfect but it is acceptable and creates no problem. In my opinion, as next job the author should write another book now
giving the full proofs and mathematics behind Kalman Filtering. In this way, the two books will solve the whole Kalman Filtering problem
for anybody.
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