Results 71 to 80 of about 202,753 (224)

Heterogeneous sensor-based rotor attitude detection for a spherical motor using distributed Kalman filtering method

AIP Advances
Permanent magnet spherical motors (PMSpMs) are new special motors with multiple degrees of freedom capability in a limited space. This paper proposes a heterogeneous sensor-based rotor attitude detection (RAD) approach for the PMSpM using the distributed
Sili Zhou, Guoli Li, Qunjing Wang, Jiahu Guo, Yuanyuan Jiang, Jiazi Xu   +5 more
doaj   +1 more source

Tensor‐based mobile channel tracking for IRS‐aided transmission systems

Electronics Letters, 2023
In communication and sensing integrations, an intelligent reflective surface (IRS) will provide an auxiliary wireless link to enhance coverage and information transmission quality.
Ying Su, Jing Zhang
doaj   +1 more source

The Kalman-Levy filter

, 2001
The Kalman filter combines forecasts and new observations to obtain an estimation which is optimal in the sense of a minimum average quadratic error.
Ahn, Aliev, Bouchaud, Chambers, de Calan, Didier Sornette, Ghil, Goldie, Ide, Kayo Ide, Kesten, Le Breton, Sornette, Sornette, Spall, Zajdenweber, Zajdenweber   +16 more
core   +1 more source

Design of Distributed Fusion Predictor and Filter without Feedback for Nonlinear System with Correlated Noises and Random Parameter Matrices

Measurement Science Review, 2022
This work presents distributed predictor and filter without feedback for nonlinear stochastic uncertain system with correlated noises. Firstly, for the problem that the process noise and measurement noise are correlated, the two-step prediction theorem ...
Liu Man-lu, Lin Rui, Huo Jian-wen, Tan Li-guo, Ling Qing, Zybin Eugene Yuryevich   +5 more
doaj   +1 more source

Distributed Field Estimation Using Sensor Networks Based on H∞ Consensus Filtering

Sensors, 2018
This paper is concerned with the distributed field estimation problem using a sensor network, and the main purpose is to design a local filter for each sensor node to estimate a spatially-distributed physical process using the measurements of the whole ...
Haiyang Yu, Rubo Zhang, Junwei Wu, Xiuwen Li   +3 more
doaj   +1 more source

Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering

IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
This paper considers consensus-based distributed Kalman filtering subject to data-falsification attack, where Byzantine agents share manipulated data with their neighboring agents.
A. Moradi, Naveen K. D. Venkategowda, Stefan Werner   +2 more
semanticscholar   +1 more source

Derivative-Free Distributed Filtering for MIMO Robotic Systems under Delays and Packet Drops

International Journal of Advanced Robotic Systems, 2013
This paper presents an approach to distributed state estimation-based control of nonlinear MIMO systems, capable of incorporating delayed measurements in the estimation algorithm while also being robust to packet losses.
Gerasimos G. Rigatos
doaj   +1 more source

Distributed estimation of oscillations in power systems: An extended Kalman filtering approach

CSEE Journal of Power and Energy Systems, 2019
Online estimation of electromechanical oscillation parameters provides essential information to prevent system instability and blackout and helps to identify event categories and locations.
Zhe Yu, Di Shi, Zhiwei Wang, Qibing Zhang, Junhui Huang, Sen Pan   +5 more
doaj   +1 more source

Distributed Kalman filter for UWB/INS integrated pedestrian localization under colored measurement noise

Satellite Navigation, 2021
Colored Measurement Noise (CMN) has a great impact on the accuracy of human localization in indoor environments with Inertial Navigation System (INS) integrated with Ultra Wide Band (UWB).
Yuan Xu, Jing Cao, Yuriy S. Shmaliy, Yuan Zhuang   +3 more
doaj   +1 more source

Target Tracking Using SePDAF under Ambiguous Angles for Distributed Array Radar

Sensors, 2016
Distributed array radar can improve radar detection capability and measurement accuracy. However, it will suffer cyclic ambiguity in its angle estimates according to the spatial Nyquist sampling theorem since the large sparse array is undersampling ...
Teng Long, Honggang Zhang, Tao Zeng, Xinliang Chen, Quanhua Liu, Le Zheng   +5 more
doaj   +1 more source