通信受限传感器网络的分布式信息融合估计（英文版） [Distributed Fusion Estimation for Sensor Networks with Communication Const epub pdf mobi txt 电子书 下载 2024

通信受限传感器网络的分布式信息融合估计（英文版） [Distributed Fusion Estimation for Sensor Networks with Communication Const epub pdf mobi txt 电子书 下载 2024

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通信受限传感器网络的分布式信息融合估计（英文版） [Distributed Fusion Estimation for Sensor Networks with Communication Const epub pdf mobi txt 电子书 下载 2024

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内容简介

　　《通信受限传感器网络的分布式信息融合估计（英文版）》结合作者多年的研究工作，详细介绍了无线传感器网络环境下的多传感器信息融合估计系统建模、融合估计算法设计及性能分析方法。介绍了无线传感器网络环境下多传感器信息融合估计所遇到的挑战性问题；重点介绍了通信和能量受限情况下如何设计面向节能的融合估计器；介绍了基于观测信号直接降维的网络化多传感器节能融合估计器设计方法；介绍了基于多速率融合策略的网络化多传感器节能融合估计方法；介绍了基于观测信号量化的网络化多传感器节能融合估计器设计方法；介绍了具有分级递阶结构的网络化多传感器分布式信息融合估计方法；介绍了时延、丢包和传感器失效影响下的网络化多传感器信息融合估计方法。通过移动目标跟踪等仿真实例说明所提出的融合估计方法的有效性和优越性。

目录

1 Introduction
1．1 Distributed Fusion Estimation for Sensor Networks
1．2 Book Organization
References

2 Multi-rate Kalman Fusion Estimation for WSNs
2．1 Introduction
2．2 Problem Statement
2．3 Two-Stage Distributed Estimation
2．3．1 Local Kalman Estimators
2．3．2 Distributed Fusion Estimation
2．4 Simulations
2．5 Conclusions
References

3 Kalman Fusion Estimation for WSNs with Nonuniform Estimation Rates
3．1 Introduction
3．2 Problem Statement
3．3 Modeling of the Estimation System
3．4 Design of the Fusion Estimators (Type I)
3．4．1 Design of Local Estimators
3．4．2 Design of the Fusion Rule
3．5 Design of the Fusion Estimators (Type II)
3．5．1 EstimatorDesign
3．5．2 Convergence of the Estimator
3．6 Simulations
3．7 Conclusions
References

4 Hoo Fusion Estimation for WSNs with Nonuniform Sampling Rates
4．1 Introduction
4．2 Problem Statement
4．3 Hoo Performance Analysis
4．4 Hoo Filter Design
4．5 Simulations
4．6 Conclusions
References

5 Fusion Estimation for WSNs Using Dimension-Reduction Method
5．1 Introduction
5．2 Problem Statement
5．2．1 SystemModels
5．2．2 Problem oflnterests
5．3 Design of Finite-Horizon Fusion Estimator
5．3．1 Compensating Strategy
5．3．2 Design of Finite-Horizon Fusion Estimator
5．4 Boundness Analysis ofthe Fusion Estimator
5．5 Simulations
5．5．1 Bandwidth Constraint Case
5．5．2 Energy Constraint Case
5．5．3 Bandwidth and Energy Constraints Case
5．6 Conclusions
References

6 Hoo Fusion Estimation for WSNs with Quantization
6．1 Introduction
6．2 Problem Statement
6．3 Distributed Hoo Fusion Estimator Design
6．4 Simulations
6．5 Conclusions
References

7 Hierarchical Asynchronous Fusion Estimation for WSNs
7．1 Introduction
7．2 Centralized Aperiodic Optimal Local Estimation
7．3 Hierarchical Asynchronous Fusion Estimation
7．4 Simulations
7．5 Conclusions
References

8 Fusion Estimation for WSNs with Delayed Measurements
8．1 Introduction
8．2 Problem Statement
8．3 Preliminary Results
8．4 Robust Information Fusion Kalman Estimator
……
9 Fusion Estimation for WSNs with Delays and Packet Losses
Index

前言/序言

　　Advances in micro electromechanical systems and wireless technologies have allowed for the emergence ofinexpensive micro-sensors with embedded processing and communication capabilities. A wireless sensor network (WSN) is a collection of these physically distributed micro-sensors communicating with one another over wireless links. In their various shapes and forms， the WSNs have greatly facilitated and enhanced the automated， remote， and intelligent monitoring of a large variety of physical systems and have found applications in various areas， such as industrial and building automation; environmental， traffic， wildlife， and health monitoring;and military surveillance. The purpose of a WSN is to provide users access to the information of interest from data gathered by spatially distributed sensors.In most applications， users are interested in a processed data that carries useful information of a physical plant rather than a measured data contaminated by noises.Therefore， it is not surprising that signal estimation， especially the multisensory fusion estimation， has been one of the most fundamental collaborative information processing problems in WSNs. The WSN， as a typical multisensor system， has greatly extended application areas of multisensor information fusion estimation，which was originally developed for military applications， such as target tracking and navigation. Although WSNs present attractive features， challenges associated with communication constraints， such as the scarcity of bandwidth and energy， as well as the delays and packet losses， in wireless communications have to be addressed in the WSN-based information fusion estimation and have attracted increasing research interest during the past decade.

通信受限传感器网络的分布式信息融合估计（英文版） [Distributed Fusion Estimation for Sensor Networks with Communication Const epub pdf mobi txt 电子书 下载 2024

通信受限传感器网络的分布式信息融合估计（英文版） [Distributed Fusion Estimation for Sensor Networks with Communication Const 下载 epub mobi pdf txt 电子书 2024

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