Results 41 to 50 of about 8,582 (299)
Distributed spectrum sensing in rem based cognitive radio networks [PDF]
مجله مدل سازی در مهندسی, 2019 Ever increasing development of wireless devices and wireless networks have increased the value of spectral space. Many efforts have been conducted to increase spectral utilization.
nematollah Ezzati, hassan Taheri
doaj +1 more source
Implementation of a Distributed Kalman Filter for 3-D Moving Object Tracking by Using IMU/UWB [PDF]
, 2022 The focus of this thesis is on the implementation of distributed kalman filters over sensor networks for 3-D moving target tracking. Two distributed kalman filters, quaternion-based distributed extended kalman filter and distributed invariant extended ...
Zhou, Yizhi
core
, 2012 A robust extended Kalman filter (EKF) is proposed as a method for estimation of the state of charge (SOC) of lithium-ion batteries used in hybrid electric vehicles (HEVs). An equivalent circuit model of the battery, including its electromotive force (EMF)
jiang, J. +7 more
core +1 more source
Distributed Kalman Filtering Under Model Uncertainty [PDF]
IEEE Transactions on Control of Network Systems, 2020 We study the problem of distributed Kalman filtering for sensor networks in the presence of model uncertainty. More precisely, we assume that the actual state-space model belongs to a ball, in the Kullback-Leibler topology, about the nominal state-space model and whose radius reflects the mismatch modeling budget allowed for each time step.
openaire +2 more sources
Flexible Dielectric Acoustic Resonator Patch for Tissue Regeneration
Advanced Materials, EarlyView.A flexible dielectric acoustic resonator patch enables MHz‐range ultrasound generation through resonance amplification without using piezoelectric materials. Conformal integration on a curved substrate allows efficient acoustic delivery to tissue‐mimicking environments.
Donyoung Kang +7 more
wiley +1 more source
Distributed Kalman filtering based on consensus strategies [PDF]
IEEE Journal on Selected Areas in Communications, 2008 In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements. Each agent constructs a local estimate based on its own measurements and on the estimates from its neighbors. Estimation is performed via a two stage strategy, the first being a Kalman-like measurement update which does not require ...
CARLI, RUGGERO +3 more
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, 2023 This paper proposes cooperative Kalman filters for distributed mobile sensor networks where the mobile sensors are organized into cells that resemble a mesh grid to cover a spatial area.
Wu, Wencen +3 more
core +1 more source
Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces
Advanced Science, EarlyView.System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee +9 more
wiley +1 more source
Ensemble Kalman filtering without the intrinsic need for inflation [PDF]
Nonlinear Processes in Geophysics, 2011 The main <i>intrinsic</i> source of error in the ensemble Kalman filter (EnKF) is sampling error. External sources of error, such as model error or deviations from Gaussianity, depend on the dynamical properties of the model.
M. Bocquet
doaj +1 more source
Distributed Kalman filtering based on quantized innovations [PDF]
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 We consider state estimation of a Markov stochastic process using an ad hoc wireless sensor network (WSN) based on noisy linear observations. Due to power and bandwidth constraints present in resource- limited WSNs, the observations are quantized before transmission.
Eric J. Msechu +3 more
openaire +1 more source