Multisensor fusion estimation theory and application

Multisensor fusion estimation theory and application / Liping Yan, Lu Jiang, Yuanqing Xia.

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 syste...

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Bibliographic Details
Main Authors: Yan, Liping (Author), Jiang, Lu (Author), Xia, Yuanqing (Author)
Format: Electronic eBook
Language:English
Published: Singapore : Springer, [2021]
Subjects:
Multisensor data fusion.
Electrical engineering.
Automatic control.
Signal processing.
Image processing.
Speech processing systems.
Computational intelligence.
Engineering > Data processing.
electrical engineering.
image processing.
Multisensor data fusion
Automatic control
Computational intelligence
Electrical engineering
Engineering > Data processing
Image processing
Signal processing
Speech processing systems
Online Access:Click for online access
Table of Contents:
  • Introduction to Optimal Fusion Estimation and Kalman Filtering: Preliminaries
  • Kalman Filtering of Discrete Dynamic Systems
  • Optimal Kalman filtering Fusion for Linear Dynamic Systems with Cross-Correlated Sensor Noises
  • Distributed Data Fusion for Multirate Sensor Networks
  • Optimal Estimation for Multirate Systems with Unreliable Measurements and Correlated Noise
  • Fusion Estimation for Asynchronous Multirate Multisensor Systems with Unreliable Measurements and Coupled Noises
  • Multi-sensor Distributed Fusion Estimation for Systems with Network Delays, Uncertainties and Correlated Noises
  • Event-triggered Centralized Fusion Estimation for Dynamic Systems with Correlated Noises
  • Event-triggered Distributed Fusion Estimation for WSN Systems
  • Event-triggered Sequential Fusion Estimation for Dynamic Systems with Correlated Noises
  • Distributed Fusion Estimation for Multisensor Systems with Heavy-tailed Noises
  • Sequential Fusion Estimation for Multisensor Systems with Heavy-tailed Noises.

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