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Networked Multisensor Decision and Estimation Fusion
book

Networked Multisensor Decision and Estimation Fusion

by Yunmin Zhu, Jie Zhou, Xiaojing Shen, Enbin Song, Yingting Luo
July 2012
Intermediate to advanced content levelIntermediate to advanced
437 pages
9h 58m
English
CRC Press
Content preview from Networked Multisensor Decision and Estimation Fusion

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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Publisher Resources

ISBN: 9781439874530