Intuitive Understanding of Kalman Filtering with MATLAB

The emergence of affordable micro sensors, such as MEMS Inertial Measurement Systems, which are being applied in embedded systems and Internet-of-Things devices, has brought techniques such as Kalman Filtering, capable of combining information from multiple sensors or sources, to the interest of stu...

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Bibliographic Details
Main Authors: Barreto, Armando, Adjouadi, Malek, Ortega, Francisco R., O-larnnithipong, Nonnarit
Format: eBook Book
Language:English
Published: Boca Raton CRC Press 2021
Taylor & Francis Group
Edition:1
Subjects:
COMPUTERSCIENCEnetBASE
game design
game development
INFORMATIONSCIENCEnetBASE
Internet & Multimedia
Kalman filtering
MATLAB
Multimedia
Numerical analysis
player communication
player outreach
retention
SCI-TECHnetBASE
STMnetBASE
Posterior Distribution
Start
Accelerometer Measurements
Prediction Phase
Superimposing
Euler Angles
State Transition Matrix
Posterior Estimate
MATLAB Code
Predicted State Vector
Paper Wad
State Vector
Kalman Filtering
Correction Phase
Bayesian Estimation Process
Bayesian Estimation
Random Variables
Covariance Matrix
Kalman Filtering Estimation
Kalman Gain
Univariate Gaussian
State Variable Vector
Kalman Filtering Algorithm
Gaussian Pdf
Filter Iterations
ISBN:0367191334, 0367191350, 9780367191351, 9780367191337
Online Access:Get full text
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Description
Summary:The emergence of affordable micro sensors, such as MEMS Inertial Measurement Systems, which are being applied in embedded systems and Internet-of-Things devices, has brought techniques such as Kalman Filtering, capable of combining information from multiple sensors or sources, to the interest of students and hobbyists. This will book will develop just the necessary background concepts, helping a much wider audience of readers develop an understanding and intuition that will enable them to follow the explanation for the Kalman Filtering algorithm. Key Features: Provides intuitive understanding of Kalman Filtering approach Succinct overview of concepts to enhance accessibility and appeal to wide audience Interactive learning techniques with code examples
Bibliography:Includes bibliographical references (p. 217-219) and index
ISBN:0367191334
0367191350
9780367191351
9780367191337
DOI:10.1201/9780429200656