Multi-Sensor Data Fusion with MATLAB®
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Multi-Sensor Data Fusion: Theory and Practice explores the theory and concepts of multi-sensor data fusion, including kinematic data fusion, fuzzy logic and decision fusion, and pixel/image-level fusion. The book elucidates aspects of data fusion strategies, algorithms, and performance evaluation, mainly for aerospace applications. However, the concepts and methods discussed are equally applicable to other systems. The book also offers several numerical simulation examples coded in MATLAB(R) for signal processing, control system, system identification, neural networks, and fuzzy logic.
Using MATLAB® examples wherever possible, this detailed book explores the three levels of 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. The book uses the Kalman filter, fuzzy logic, Bayesian networks, clustering, and more to address tracking and other problems. Select MATLAB programs are available online.
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