Results 31 to 40 of about 8,582 (299)

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

IEEE 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, Qingdong Li, Liang Han, Xiwang Dong, Yuan Liang, Zhang Ren   +5 more
doaj   +1 more source

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

Journal 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

Optimally Distributed Kalman Filtering with Data-Driven Communication

Sensors, 2018
For multisensor data fusion, distributed state estimation techniques that enable a local processing of sensor data are the means of choice in order to minimize storage and communication costs.
Katharina Dormann, Benjamin Noack, Uwe D. Hanebeck   +2 more
doaj   +1 more source

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

Sensors, 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

An Iterative Extended Kalman Filter for Coherent Measurements of Incoherent Network Nodes in Positioning Systems

IEEE Access, 2020
Many positioning and tracking applications use spatially distributed sensor stations, each equipped with coherent measurement channels. The coherent data set of each node is incoherently measured to the data sets of all other nodes, avoiding expensive ...
Markus Hehn, Erik Sippel, Martin Vossiek
doaj   +1 more source

Development of a Robust UFIR Filter with Consensus on Estimates for Missing Data and unknown noise statistics over WSNs [PDF]

MATEC Web of Conferences, 2019
Wireless sensor networks (WSN) are often deployed in harsh environments, where electromagnetic interference, damaged sensors, or the landscape itself cause the network to suffer from faulty links and missing data.
Vazquez-Olguin Miguel, Shmaiy Yuriy S., Ibarra-Manzano Oscar   +2 more
doaj   +1 more source

Kalman Filtering of Distributed Time Series

CoRR, 2017
7 pages, 9 figures, International Conference on Control Systems and Computer Science ...
Dan Stefanoiu, Janetta Culita
openaire   +2 more sources

Distributed Kalman Filtering

, 2013
Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco ...
Subhro Das, José M. F. Moura
openaire   +3 more sources

Performance Monitoring Based on Improved Adaptive Kalman Filtering for Turboshaft Engines Under Network Uncertainties

Aerospace
Aero-engine performance monitoring is a core component of the engine health management system and an important approach to enhancing flight safety and reliability.
Chengjiu Wang, Xinyu Zhu, Xin Zhou, Jinquan Huang, Feng Lu   +4 more
doaj   +1 more source

Impact of the non-Gaussian measurement noise on the performance of state-of-the-art state estimators for distribution systems [PDF]

Serbian Journal of Electrical Engineering
This paper aims to investigate the impact of non-Gaussian measurement noise on state estimation (SE) results in distribution systems. To this end, the measurement noise is assumed to be distributed according to Gaussian or one of the following ...
Čubonović Stefan, Ćetenović Dragan, Ranković Aleksandar   +2 more
doaj   +1 more source