Results 51 to 60 of about 70,135 (188)

Distributed Multisensor Multitarget Tracking Algorithm with Time-Offset Registration

open access: yesXibei Gongye Daxue Xuebao, 2020
In multisensor systems, the signal processing delay, measurement acquisition delay, and other factors will lead to imprecisely time-stamped measurements, namely, the problem of time-offset.

doaj   +1 more source

Huber-Based Robust Unscented Kalman Filter Distributed Drive Electric Vehicle State Observation

open access: yesEnergies, 2021
Accurate and real-time acquisition of vehicle state parameters is key to improving the performance of vehicle control systems. To improve the accuracy of state parameter estimation for distributed drive electric vehicles, an unscented Kalman filter (UKF)
Wenkang Wan   +3 more
doaj   +1 more source

Distributed Periodic Steady State Kalman Filter

open access: yesInternational Journal of Circuits, Systems and Signal Processing, 2022
In this paper a distributed implementation for the periodic steady state Kalman filter is proposed. The distributed algorithm has parallel structure and can be implemented using processors in parallel without idle time. The number of processors is equal to the model period. The resulting speedup is also derived.
Assimakis, N., Adam, M., Massouros, C.
openaire   +2 more sources

Distributed Object Tracking Using a Cluster-Based Kalman Filter in Wireless Camera Networks [PDF]

open access: yes, 2008
Local data aggregation is an effective means to save sensor node energy and prolong the lifespan of wireless sensor networks. However, when a sensor network is used to track moving objects, the task of local data aggregation in the network presents a new
Medeiros, Henry   +2 more
core   +1 more source

Kalman Filter for Noise Reduction in Aerial Vehicles using Echoic Flow [PDF]

open access: yes, 2020
Echolocation is a natural phenomenon observed in bats that allows them to navigate complex, dim environments with enough precision to capture insects in midair.
Palo, Andrew
core  

Distributed Kalman Filtering Based on the Non-Repeated Diffusion Strategy

open access: yesSensors, 2020
Estimation accuracy is the core performance index of sensor networks. In this study, a kind of distributed Kalman filter based on the non-repeated diffusion strategy is proposed in order to improve the estimation accuracy of sensor networks.
Xiaoyu Zhang, Yan Shen
doaj   +1 more source

A strong robust observer of distributed drive electric vehicle states based on strong tracking-iterative central difference Kalman filter algorithm

open access: yesAdvances in Mechanical Engineering, 2018
This article proposed a strong robust observer of distributed drive electric vehicle states, including yaw rate, sideslip angle, and longitudinal velocity.
Guoqing Geng   +4 more
doaj   +1 more source

Distributed Kalman filtering using consensus strategies [PDF]

open access: yes2007 46th IEEE Conference on Decision and Control, 2007
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 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
openaire   +1 more source

Consensus-based joint target tracking and sensor localization

open access: yes, 2017
In this paper, consensus-based Kalman filtering is extended to deal with the problem of joint target tracking and sensor self-localization in a distributed wireless sensor network.
Battistelli, Giorgio   +3 more
core   +1 more source

RETRACTED: Li et al. A Kalman Filter-Based Distributed Cyber-Attack Mitigation Strategy for Distributed Generator Units in Meshed DC Microgrids. Energies 2023, 16, 7959

open access: yesEnergies
The journal retracts the article titled “A Kalman Filter-Based Distributed Cyber-Attack Mitigation Strategy for Distributed Generator Units in Meshed DC Microgrids” [...]
Wenpei Li   +4 more
doaj   +1 more source

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