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.

尽可能使用MATLAB®示例，使用MATLAB进行多传感器数据融合，探索了多传感器数据融合（MSDF）的三个层次：运动学层次的融合，包括DF理论；模糊逻辑与决策融合；像素级和特征级图像融合。作者阐述了DF策略、算法和性能评估，主要用于航空航天应用，尽管这些方法也可应用于其他领域的系统，如生物医学、军事防御和环境工程。在介绍了测向和跟踪性能的几种有用策略和算法之后，本书评估了测向算法、软件和系统。