Z. Hu, J. Feng, Blind channel equalization algorithm based on dual unscented Kalman filter for chaotic multi-input multi-output communi- cation systems, Transactions of Tianjin University 18 (2012) 33-37.Blind channel equalization algorithm based on dual unscented Kalman filter for chaotic multi-...
Keywords:chaoticMIMOsystem:blindchannelequalization;unscentedKalmanfilter Sincetheself_svnchrOnizationphenomenonofcha— oticsystemsL wasdemonstrated . chaoticcommunica— tions havebeenstudiedextensively.Manychaotic communicationdesignsassumethatthetransmitteris connectedtothereceiverbyanidea1channelpJ.How— ever.inaprac...
In this paper an improved dual unscented Kalman filter (DUKF), which estimate state and parameter simultaneously has been applied to the real New England power market. The numerical stability and more accurate predictions of our method is comparable to the EKF, and traditional neural network ...
A multi-scale fractional-order dual unscented Kalman filter is proposed to promote the accuracy of the battery SOC estimation. First, a fractional-order model (FOM) based on the fractional calculus theory is proposed to represent the characteristics of lithium-ion batteries. Its parameters are ...
State-of-charge estimation of Lithium-ion batteries using an adaptive dual unscented Kalman filter based on a reduced-order model 来自 dx.doi.org 喜欢 0 阅读量: 5 作者:S Hosseininasab,N Momtaheni,S Pischinger,M Günther,L Bauer 摘要: The proposed scheme relies on a novel incorporated ...
The unscented Kalman filter (UKF) is recently applied to many areas to overcome some of the limitations of the extended Kalman filter (EKF) such as weakness to severe nonlinearity. This paper uses the UKF for estimating multi path parameters. A series of simulations were performed with GPS ...
Theadaptive extended Kalman filterand unscented Kalman filter(UKF) were designed for fine alignment. 首先利用电子罗盘辅助加速度计完成粗对准,然后,分别设计了自适应扩展卡尔曼滤波器和平淡卡尔曼滤波器(UKF)用于精对准。 3) decoupled extended kalman filtering ...
There are well developed algorithms to manage both linear (e.g. the Kalman filter [1]) and nonlinear state–space models (e.g. extended Kalman filter (EKF) [2]); the particle/sequential-Monte-Carlo filter [3], [4]; and the unscented Kalman filter [5], [6], [7]. These real-...
Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter. Eng. Appl. Artif. Intell. 127, 107138 (2024). Article MATH Google Scholar Hou, Y. et al. Diagnosisformer: An efficient rolling bearing fault diagnosis method ...
Single observer bearings-only tracking with the unscented Kalman filter The basic problem in target motion analysis (TMA) is to estimate the trajectory of an object from noise corrupted measurement data. The position and veloci... Y Xu,L Li - International Conference on Communications 被引量: ...