Results 21 to 30 of about 70,135 (188)

Distributed consensus strong tracking filter for wireless sensor networks with model mismatches

open access: yesInternational Journal of Distributed Sensor Networks, 2017
A distributed consensus strong tracking filter is developed and investigated for the target tracking problems with model mismatches in wireless sensor networks.
Quansheng Liu, Chongpeng Huang, Li Peng
doaj   +1 more source

Distributed Orbit Determination for Global Navigation Satellite System with Inter-Satellite Link

open access: yesSensors, 2019
To keep the global navigation satellite system functional during extreme conditions, it is a trend to employ autonomous navigation technology with inter-satellite link.
Yuanlan Wen   +4 more
doaj   +1 more source

Robust Inference for State-Space Models with Skewed Measurement Noise [PDF]

open access: yes, 2015
Filtering and smoothing algorithms for linear discrete-time state-space models with skewed and heavy-tailed measurement noise are presented. The algorithms use a variational Bayes approximation of the posterior distribution of models that have normal ...
Ardeshiri, Tohid   +3 more
core   +2 more sources

Distributed Filter with Consensus Strategies for Sensor Networks

open access: yesJournal of Applied Mathematics, 2013
Consensus algorithm for networked dynamic systems is an important research problem for data fusion in sensor networks. In this paper, the distributed filter with consensus strategies known as Kalman consensus filter and information consensus filter is ...
Xie Li, Huang Caimou, Hu Haoji
doaj   +1 more source

Consensus Based Strong Tracking Adaptive Cubature Kalman Filtering for Nonlinear System Distributed Estimation

open access: yesIEEE Access, 2019
The distributed cubature Kalman filter is widely used in the field of target tracking, however, the presence of model uncertainties will undermine its tracking stability and effectiveness for tracking maneuvering target. In order to eliminate this effect
Zheng Zhang   +5 more
doaj   +1 more source

Harmonic Amplification Analysis of Cable Lines with Distributed Parameters Based on Kalman Filter and Convolution Inversion

open access: yesJournal of Modern Power Systems and Clean Energy, 2023
Harmonic amplification phenomena could appear at the point of common connection (PCC) of the cable line terminal. However, the distributed parameter model of the cable line contains hyperbolic functions with plural variables, which makes it challenging ...
Yang Pu, Qin Shu, Fangwei Xu
doaj   +1 more source

Distributed ensemble Kalman filtering

open access: yes2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014
We address the problem of distributed filtering in a wireless sensor network and develop distributed approximations of three variants of the ensemble Kalman filter. We express the update equations in an alternative information form in order to formulate a distributed measurement update mechanism.
Arslan Shahid   +2 more
openaire   +2 more sources

A New Adaptive H-Infinity Filtering Algorithm for the GPS/INS Integrated Navigation

open access: yesSensors, 2016
The Kalman filter is an optimal estimator with numerous applications in technology, especially in systems with Gaussian distributed noise. Moreover, the adaptive Kalman filtering algorithms, based on the Kalman filter, can control the influence of ...
Chen Jiang, Shu-Bi Zhang, Qiu-Zhao Zhang
doaj   +1 more source

Distributed finite element Kalman filter [PDF]

open access: yes2015 European Control Conference (ECC), 2015
This paper addresses state estimation for spatially distributed systems governed by linear partial differential equations from discrete in-space-and-time noisy measurements provided by sensors deployed over the spatial domain of interest. A decentralised and scalable approach is undertaken by decomposing the domain into overlapping subdomains assigned ...
BATTISTELLI, GIORGIO   +4 more
openaire   +2 more sources

Kalman Filtering with Uncertain Process and Measurement Noise Covariances with Application to State Estimation in Sensor Networks [PDF]

open access: yes, 2007
Distributed state estimation under uncertain process and measurement noise covariances is considered. An algorithm based on sensor fusion using Kalman filtering is investigated.
Johansson, Karl Henrik   +2 more
core   +2 more sources

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