Parasitic capacitance has a considerable impact on conductive electromagnetic interference (EMI), especially the common mode (CM) noise. In vehicular applications, such as more electric aircraft and electrical vehicles, value of CM stray can vary during drive cycle, due to some change in environmental, operating conditions, resulting fluctuations EMI level. Designing filters according potential...

The problem of tracking a vessel modelled at a distance by an equivalent magnetic dipole is investigated. Tracking a magnetic dipole from magnetic field measurements is a complex non-linear problem. The determination of target position, velocity and magnetic moment is formulated as an optimal stochastic estimation problem, which could be solved using the non-linear Kalman filtering methods. The...

In the normal operation conditions of a pico satellite, conventional Unscented Kalman Filter (UKF) gives sufficiently good estimation results. However, if the measurements are not reliable because of any kind of malfunction in the estimation system, UKF gives inaccurate results and diverges by time. This study, introduces Robust Unscented Kalman Filter (RUKF) algorithms with the filter gain cor...

In this paper, the new nonlinear filter method Cubature Kalman Filter (CKF) is improved to solve the passive location problem. Firstly, the Empirical Mode Decomposition (EMD) algorithm is used to estimate the new measurement noise covariance in the filter process; And then the new covariance of the noise is brought into the circle; Meanwhile, the location process is improved by the way of squar...

This paper presents a practical technique for modelbased 3D hand tracking. An anatomically accurate hand model is built from truncated quadrics. This allows for the generation of 2D profiles of the model using elegant tools from projective geometry, and for an efficient method to handle self-occlusion. The pose of the hand model is estimated with an Unscented Kalman filter (UKF), which minimize...

This paper describes an estimator incorporating the Unscented Kalman Filter (UKF) technique and multibody system dynamics, to determine state of flexible applications. The dynamic equation mechanism is formed using a set non-linear equations as functions reference modal coordinates. Since both coordinates have no physical meaning, their information not able be obtained directly from sensors. Th...

The Unscented Kalman Filter (UKF) is widely used for the state, disturbance, and parameter estimation of nonlinear dynamic systems, which both process measurement uncertainties are represented in a probabilistic form. Although UKF can often be shown to more reliable processes than linearization-based Extended (EKF) due enhanced approximation capabilities its underlying probability distribution,...