TY - BOOK ID - 66184775 TI - Multisensor fusion estimation theory and application AU - Yan, Liping AU - Xia, Yuanqing AU - Jiang, Lu PY - 2021 SN - 9811594260 9811594252 PB - Gateway East, Singapore : Springer, DB - UniCat KW - Electrical engineering. KW - Control engineering. KW - Signal processing. KW - Image processing. KW - Speech processing systems. KW - Computational intelligence. KW - Engineering—Data processing. KW - Communications Engineering, Networks. KW - Control and Systems Theory. KW - Signal, Image and Speech Processing. KW - Computational Intelligence. KW - Data Engineering. KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - Computational linguistics KW - Electronic systems KW - Information theory KW - Modulation theory KW - Oral communication KW - Speech KW - Telecommunication KW - Singing voice synthesizers KW - Pictorial data processing KW - Picture processing KW - Processing, Image KW - Imaging systems KW - Optical data processing KW - Processing, Signal KW - Information measurement KW - Signal theory (Telecommunication) KW - Control engineering KW - Control equipment KW - Control theory KW - Engineering instruments KW - Automation KW - Programmable controllers KW - Electric engineering KW - Engineering KW - Automatic control. UR - https://www.unicat.be/uniCat?func=search&query=sysid:66184775 AB - This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and systematically introduced. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced. Part IV consists of two chapters, in which fusion estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily intended for researchers and engineers in the field of data fusion and state estimation. It also benefits for both graduate and undergraduate students who are interested in target tracking, navigation, networked control, etc. ER -