Results 121 to 130 of about 7,896 (220)
Position estimation using Unscented Kalman Filter [PDF]
, 2004 Position estimation in integrated navigation systems often calls for operations on nonlinear system models. Dynamics nonlinearity of an object, which position we want to estimate requires using special filters.
Konatowski, S., Sipa, T.
core
Comparative Assessment of a Chemical Reactor Using Extended Kalman Filter and Unscented Kalman Filter [PDF]
, 2014 Continuous Stirred Tank Reactor is a typical chemical reactor system with complex nonlinear dynamic characteristics. The variables which characterize the quality of the final product in Continuous Stirred Tank Reactor are often difficult to measure in ...
Geetha, M. +5 more
core +1 more source
OCP Based Online Multisensor Data Fusion for Autonomous Ground Vehicle [PDF]
, 2010 In this paper, online multisensor data fusion algorithm using CORBA event channel is proposed, in order to deal with simplifying problem in sensor registration and fusion for vehicle’s state estimation.
Syahroni, Nanang
core
Robust INS/GPS sensor fusion for UAV localization using SDRE nonlinear filtering [PDF]
, 2009 For publication in IEEE Sensors JournalThe aim of this paper is to present a new INS/GPS sensor fusion scheme, based on State-Dependent Riccati Equation (SDRE) nonlinear filtering, for Unmanned Aerial Vehicle (UAV) localization problem.
Aouf, Nabil, Aouf, N., Nemra, A.
core +1 more source
Research on a mixed prediction method to vehicle integrated navigation systems
International Journal of Advanced Robotic Systems, 2019 Aiming to improve the positioning accuracy of vehicle integrated navigation system (strapdown inertial navigation system/Global Positioning System) when Global Positioning System signal is blocked, a mixed prediction method combined with radial basis ...
Di Zhao, Huaming Qian, Dingjie Xu
doaj +1 more source
On The Application Of The Unscented [PDF]
, 2007 In a series of recent studies a new approach for applying the Kalman filter to nonlinear system, referred to as Unscented Kalman filter (UKF), was proposed.
Kalman Filter To +2 more
core
Joint Particle Filter and UKF Position Tracking in Severe Non-Line-Of-Sight Situations [PDF]
, 2009 The performance of localization techniques in a wireless communication system is severely impaired by biases induced in the range and angle measures because of the non-line-of-sight (NLOS) situation, caused by obstacles in the transmitted signal path ...
Vidal, Josep +4 more
core +1 more source
Научный вестник МГТУ ГА, 2016 The paper contains algorithms for solving the problem of nonlinear filtering. The nonlinear approximate filters presented are: the extended Kalman filter (EKF), the uncented Kalman filter (UKF) and unscented Particle Filter (UPF). The flow-charts for the listed algorithms are presented and a corresponding software complex based on these algorithms is ...
openaire +1 more source
Implementation of unknown parameter estimation procedure for hybrid and discrete non‐linear systems
IET Radar, Sonar & NavigationThe application of the hybrid extended Kalman filter (HEKF), hybrid unscented Kalman filter (HUKF), hybrid particle filter (HPF), and hybrid extended Kalman particle filter (HEKPF) is discussed for hybrid non‐linear filter problems, when prediction ...
Mahdi Razm‐Pa
doaj +1 more source
Optimal Sampling Frequency and Bias Error Modelling for Foot-Mounted IMUs [PDF]
, 2013 The use of foot-mounted inertial measurement units (IMUs) has shown promising results in providing accurate human odometry as a component of accurate indoor pedestrian navigation.
Munoz Diaz, Estefania +3 more
core