Multi-Sensor Data Fusion with MATLAB®  book cover
1st Edition

Multi-Sensor Data Fusion with MATLAB®

ISBN 9781439800034
Published December 16, 2009 by CRC Press
568 Pages 224 B/W Illustrations

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Book Description

Using MATLAB® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly for aerospace applications, although the methods can also be applied to systems in other areas, such as biomedicine, military defense, and environmental engineering.

After presenting several useful strategies and algorithms for DF and tracking performance, the book evaluates DF algorithms, software, and systems. It next covers fuzzy logic, fuzzy sets and their properties, fuzzy logic operators, fuzzy propositions/rule-based systems, an inference engine, and defuzzification methods. It develops a new MATLAB graphical user interface for evaluating fuzzy implication functions, before using fuzzy logic to estimate the unknown states of a dynamic system by processing sensor data. The book then employs principal component analysis, spatial frequency, and wavelet-based image fusion algorithms for the fusion of image data from sensors. It also presents procedures for combing tracks obtained from imaging sensor and ground-based radar. The final chapters discuss how DF is applied to mobile intelligent autonomous systems and intelligent monitoring systems.

Fusing sensors’ data can lead to numerous benefits in a system’s performance. Through real-world examples and the evaluation of algorithmic results, this detailed book provides an understanding of MSDF concepts and methods from a practical point of view.

Select MATLAB programs are available for download on

Table of Contents

Theory of Data Fusion and Kinematic-Level Fusion, J.R. Raol, G. Girija, and N. Shanthakumar


Concepts and Theory of Data Fusion

Strategies and Algorithms for Target Tracking and Data Fusion

Performance Evaluation of Data Fusion Systems, Software, and Tracking

Fuzzy Logic and Decision Fusion, J.R. Raol and S.K. Kashyap


Theory of Fuzzy Logic

Decision Fusion

Performance Evaluation of Fuzzy Logic-Based Decision Systems

Pixel and Feature-Level Image Fusion, J.R. Raol and V.P.S. Naidu


Pixel- and Feature-Level Image Fusion Concepts and Algorithms

Performance Evaluation of Image-Based Data Fusion Systems

A Brief on Data Fusion in Other Systems, Ajith Gopal and Simukai Utete

Introduction: Overview of Data Fusion in Mobile Intelligent Autonomous Systems

Intelligent Monitoring and Fusion



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Jitendra R. Raol is Professor Emeritus at M S Ramaiah Institute of Technology (MSRIT) in Bangalore, India.