Weighted measurement fusion quantized filtering with bandwidth constraints and missing measurements in sensor networks
type: Item
instance of: scholarly article
title: Weighted measurement fusion quantized filtering with bandwidth constraints and missing measurements in sensor networks
zbMATH Open document ID: 1407.94035
DOI: 10.1155/2014/825809
author: Jian Ding
author: Jing Ma
author: Shuli Sun
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: This paper is concerned with the estimation problem of a dynamic stochastic variable in a sensor network, where the quantization of scalar measurement, the optimization of the bandwidth scheduling, and the characteristic of transmission channels are considered. For the imperfect channels with missing measurements in sensor networks, two weighted measurement fusion (WMF) quantized Kalman filters based on the quantized measurements arriving at the fusion center are presented. One is dependent on the known message of whether a measurement is received. The other is dependent on the probability of missing measurements. They have the reduced computational cost and same accuracy as the corresponding centralized fusion filter. The approximate solution for the optimal bandwidth-scheduling problem is given under a limited bandwidth constraint. Furthermore, the vector measurement case is also discussed. The simulation research shows the effectiveness.
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 93E11
zbMATH DE Number: 7017358
Wikidata QID: Q59069675
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/825809
OpenAlex ID: W1996684447
cites work: Universal decentralized detection in a bandwidth-constrained sensor network
cites work: Distributed estimation algorithms for nonlinear systems
cites work: Combining and updating of local estimates and regional maps along sets of one-dimensional tracks
cites work: Distributed Bayesian hypothesis testing with distributed data fusion
cites work: Universal Decentralized Estimation in a Bandwidth Constrained Sensor Network
cites work: Power scheduling of universal decentralized estimation in sensor networks
cites work: SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations
cites work: State estimation for linear discrete-time systems using quantized measurements
cites work: The sector bound approach to quantized feedback control
cites work: Q3993534
cites work: Weighted measurement fusion white noise deconvolution filter with correlated noise for multisensor stochastic systems
cites work: Sensors' optimal dimensionality compression matrix in estimation fusion
description: scientific article; zbMATH DE number 7017358