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Kalman Filter for Beginners: with MATLAB Examples
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Top Customer Reviews
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.
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:
[...Read more ›
Comments from other reviewers about the book's "KorEnglish" are largely without merit. There are some very minor translations problems that almost always arise when the author/interpreter try to use "cute" expressions. These expressions are almost always used to soften the blow of learning the theory and I can do nothing but applaud them for their efforts in this respect. There are no translation problems that will inhibit the reader from absorbing this book's contents.
In my view of the state of Kalman filter textbooks, there remains a need for a resource that pedagogically explains the underlying mathematics of the Kalman filter (which this book largely omits in order to keep a focus on practical application).
The books by Kim and Zarchan constitute a good starting place for this complicated subject matter. I heartily recommend this book.
However, this book makes a good effort toward making the basic idea of the Kalman filter accessible to readers with a limited background. This book will not make
you an expert in this area (by any stretch) but will at least give you the proper orientation and the big picture toward further study. It does not attempt to demonstrate the
optimality of the filter and its relation to least squares/minimum variance estimation.
All in all I commend the author for his effort. However, the book would be so much better if a co-author proficient in English had done the
final editing. The book is still understandable and can be digested but is far from optimal. This is why I have deducted one and one half stars (rating = 3.5).
What other options does the Kalman Filter neophyte have at his/her disposal for learning this material? The best source
I have found are the notes by Peter Joesph. Joesph worked with Kalman and is one of the founding fathers of this area. His notes are available at his personal website which can be found via a simple web search.
Another nice introductory textbook is
1. Fundamentals of Kalman Filtering by Zarchan and Musoff.Read more ›
Most Recent Customer Reviews
Easy to follow. Only 4 stars because English not great. Otherwise, very good beginner book.
Note: I did take a class several years ago on Kalman Filters, so I am not really a... Read more
This book is a great introductory book for those who are new to Kalman Filtering. I don't know about other people, but I learn best when I'm given a gentle introduction before... Read morePublished 16 months ago by real san diego reader
The book serves its stated objective and target audience well - a quick-and-dirty Kalman filter book "for beginners", someone who has very little knowledge or experience in... Read morePublished 17 months ago by Wuping Xin
This is a very straightfoward approach to kalman filters. Very well explained. As the title says, it is for beginners, but it provides good hands on examples.Published 19 months ago by Oscar Garcia
Very cleverly written! Written almost like a tutorial - it is a perfect way of mastering this topic.Published 20 months ago by Front to Back
This is an over simplistic introduction to Kalman filtering. The examples are too simple. Even the "complex" examples are over simplified to be meaningless. Read morePublished 22 months ago by Daniel G Cole
This book does not provide any development of Kalman filtering. From this book, you never learn how a Kalman filter is derived. Read morePublished 22 months ago by Erric