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Kalman Filter for Beginners: with MATLAB Examples [Paperback]

Phil Kim , Lynn Huh
4.3 out of 5 stars  See all reviews (3 customer reviews)
RRP: 55.35
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Book Description

12 July 2011
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.

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Kalman Filter for Beginners: with MATLAB Examples + Fundamentals of Kalman Filtering: A Practical Approach, Third Edition (Progress in Astronautics and Aeronautics Series)
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Product details

  • Paperback: 234 pages
  • Publisher: CreateSpace Independent Publishing Platform (12 July 2011)
  • Language: English
  • ISBN-10: 1463648359
  • ISBN-13: 978-1463648350
  • Product Dimensions: 24.6 x 18.9 x 1.2 cm
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Bestsellers Rank: 52,161 in Books (See Top 100 in Books)

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Product Description

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.

Inside This Book (Learn More)
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews

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Most Helpful Customer Reviews
5.0 out of 5 stars good book 2 May 2014
Format:Paperback|Verified Purchase
Read this one to understand the essentials of Kalman filter without loosing your way in exaggerated quirky math topics. Excellent.
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4.0 out of 5 stars kalman filter for beginners 13 Jan 2012
It is not the first time that I wanted to understand something about Kalman filters.
The example about attitude detection using Kalman and complementary filters was useful.
Illustrating the examples with Matlab is very useful.
Its the first time I feel up to reading more about it .
A point off improvement would be the website .(English version...)
Jozef Lodeweyckx Belgium
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4.0 out of 5 stars Kalman filter for beginners 16 Dec 2011
As the name itself implies, book for beginners, yes it touches all the basic topics of Kalman filtering. In initial section it provides a detailed overview about recursive filtering and in the later sections it deals with linear and non linear Kalman filtering.

I really find this book interesting, since the book has in-numerous examples along with coding tricks that further clarifies the theory. The language used is simple. It starts from very basic level, going onto the complex level that covers up every bits and bytes of Kalman filtering.

To be very frank the book is a perfect guide for people who want to study about Kalman filters.
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Amazon.com: 4.3 out of 5 stars  15 reviews
9 of 10 people found the following review helpful
5.0 out of 5 stars Big Thanks for the Author 23 Aug 2011
By Morsi - Published on Amazon.com
Format:Paperback|Verified Purchase
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 of 6 people found the following review helpful
4.0 out of 5 stars Excellent introduction 15 April 2012
By devgru - Published on Amazon.com
Format:Paperback|Verified Purchase
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 of 5 people found the following review helpful
5.0 out of 5 stars Kalman filtering made simple. 18 Feb 2012
By Kenneth C. Crandall - Published on Amazon.com
Format:Paperback|Verified Purchase
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 of 3 people found the following review helpful
5.0 out of 5 stars Best book for understanding the Kalman Filter 22 Feb 2013
By Radio guy - Published on Amazon.com
Format:Paperback|Verified Purchase
Most books attempt to explain the Kalman Filter by tormenting you with mathematical derivations and proofs. In my attempts to understand some of the gibberish thrown at me, I have studied statistics, matrix math, and system modeling. I would again attack the problem of understanding the Kalman Filter, and again be beaten down by its apparent complexity. And then I acquired Phil Kim’s book “Kalman Filter for Beginners: with MATLAB Examples”. His explanations’ are very lucid and intuitive. I can now say that I actually understand the Kalman Filter! You don’t need access to MATLAB. I am merely a hobbyist, and found that the cost of this program is prohibitive for the mere retired slob that I am. I dabble in programming, and I am sure I will be able to write a programs to implement this filter in C to run on my JK Microsystems 386Ex microcontroller, or in SPIN to run on my Parallax Propeller microprocessor.
2 of 2 people found the following review helpful
5.0 out of 5 stars Excellenet book for beginners! 18 Feb 2013
By just_me - Published on Amazon.com
Format:Paperback|Verified Purchase
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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