Chapter 6
Kalman Filtering Fusion
Many advanced estimation and target tracking systems, including aerospace, defense, robotics and automation systems, and the monitoring and control of generation plants, often involve multiple homogeneous or heterogeneous sensors that are spatially distributed to provide a large coverage, diverse viewing angles, or complementary information. An important practical problem in these systems is to find an optimal state estimator given the sensor observations. Kalman filtering is the best known recursive linear MSE ...
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