Fee Download Kalman Filter for Beginners: with MATLAB Examples, by Phil Kim
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Kalman Filter for Beginners: with MATLAB Examples, by Phil Kim
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Dwarfs your fear towards complicated mathematical derivations and proofs. Experience Kalman filter with hands-on examples to grasp the essence. A book long awaited by anyone who could not dare to put their first step into Kalman filter. The author presents Kalman filter and other useful filters without complicated mathematical derivation and proof but with hands-on examples in MATLAB that will guide you step-by-step. The book starts with recursive filter and basics of Kalman filter, and gradually expands to application for nonlinear systems through extended and unscented Kalman filters. Also, some topics on frequency analysis including complementary filter are covered. Each chapter is balanced with theoretical background for absolute beginners and practical MATLAB examples to experience the principles explained. Once grabbing the book, you will notice it is not fearful but even enjoyable to learn Kalman filter.
- Sales Rank: #278945 in Books
- Brand: Brand: CreateSpace Independent Publishing Platform
- Published on: 2011-07-12
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x .53" w x 7.44" l, .94 pounds
- Binding: Paperback
- 234 pages
- Used Book in Good Condition
About the Author
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.
Most helpful customer reviews
7 of 7 people found the following review helpful.
Excellent introduction
By devgru
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.
9 of 10 people found the following review helpful.
Big Thanks for the Author
By Morsi
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.
Note:
amazon deleted the youtube links in my original review, please go to youtube and search for student dave kalman tutorials part 1,2 and 3.
good luck fellows.
6 of 6 people found the following review helpful.
Kalman filtering made simple.
By Kenneth C. Crandall
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!
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