The velocity of a moving particle can be estimated by using the least squares method (LSM), but the estimation accuracy is not high. Here, a Kalman filtering method (KFM) is applied to estimate this velocity. A Kalman filtering formulation of the moving particle velocity is described and has been realized on a digital computer. According to a vast number of printouts, the advantages of KFM over LSM are a short filtering stability time and a high filtering accuracy.
Particle Velocity Estimation Using Kalman Filtering
IEEE Transactions on Aerospace and Electronic Systems ; AES-21 , 3 ; 407-419
1985-05-01
1466630 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DOAJ | 2016
|Kalman Filtering for Matrix Estimation
Online Contents | 2006
|Kalman filtering for matrix estimation
IEEE | 2006
|Nonlinear Estimation Via Kalman Filtering
IEEE | 1971
|