Results 91 to 100 of about 425,572 (237)
Boundary Value Problems Arising in Kalman Filtering
Boundary Value Problems, 2008 The classic Kalman filtering equations for independent and correlated white noises are ordinary differential equations (deterministic or stochastic) with the respective initial conditions. Changing the noise processes by taking them to be more realistic
Bashirov Agamirza +2 more
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Application of Kalman filtering based on sequential processing for satellite navigation
Tongxin xuebao, 2012 In order to reduce the operational volume and ensure the real-time capability of navigation algorithm of Kalman filtering,a novel filtering method called single-satellite sequential extended Kalman filtering (S3EKF) was proposed based on extended Kalman ...
Can-hui CHEN +2 more
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Introduction to Kalman Filtering [PDF]
, 2005 This document is an introduction to Kalman optimal Filtering applied to linear systems. It is assumed that the reader is already aware of linear servo-loop theory, frequency-domain Filtering (continuous and discrete-time) and state-space approach to ...
Alazard, Daniel
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Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation [PDF]
, 2011 Modeling phase is fundamental both in the analysis process of a dynamic system and the design of a control system. If this phase is in-line is even more critical and the only information of the system comes from input/output data.
Jose Manuel Andujar Marquez +11 more
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Estimação de tempos de chegada de ônibus urbano utilizando filtros de Kalman [PDF]
, 2012 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de Automação e Sistemas.A fim de diminuir congestionamentos, poluição do ar, consumo de combustível, entre outros, tem-se buscado
Gurgel, Felipe Sanches
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An Improved Kalman Filtering Method for Indoor Location
, 2016 Indoor real time location technology is widely used in large indoor space, and the location algorithm is the key part of the technology. For the signal interference problems in non-line of sight (NLOS) environment and the deficiency of the existing ...
Guo TT(郭廷廷) +5 more
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Application of Adaptive Kalman Filter Algorithm in Fracturing Operation
Shiyou jixie, 2020 It is difficult to obtain an accurate mathematical model and noise statistical characteristics when filtering the pressure in fracturing operation using a conventional Kalman filter, which results in poor filtering effect.
Chen Chunxia, Sun Xiang, Lei Xiange
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An unscented Kalman filter for freeway traffic estimation [PDF]
, 2006 This paper addresses the problem of freeway tra±c flow estimation. The freeway is considered as a network of components representing different freeway stretches called segments.
Boel, R., Hegiy, A., Mihaylova, L.
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Journal of Measurement Science and Instrumentation, 2011 The performance of the conventional Kalman filter depends on process and measurement noise statistics given by the system model and measurements.The conventional Kalman filter is usually used for a linear system,but it should not be used for estimating ...
Ya-fei YANG
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Journal of Statistical Software, 2011 Support in R for state space estimation via Kalman filtering was limited to one package, until fairly recently. In the last five years, the situation has changed with no less than four additional packages offering general implementations of the Kalman ...
Fernando Tusell
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