Title :
Non-process-noise tracking filter using a constant velocity model
Author_Institution :
Fac. of Eng., Nagasaki Univ., Nagasaki
Abstract :
In this paper, we present the optimal position gain matrix of a linear filter for three-dimensional target tracking using a constant velocity target model under the condition that the steady state errors for a constant acceleration target are constant. In our proposed method, we assume that the process noise is the zero vector.
Keywords :
covariance matrices; target tracking; tracking filters; vectors; constant acceleration target; constant filter gain matrix; constant velocity target model; covariance matrix; linear filter; nonprocess-noise tracking filter; optimal position gain matrix; steady state error; three-dimensional target tracking; zero vector; Acceleration; Covariance matrix; Fading; Noise measurement; Nonlinear filters; Sampling methods; Steady-state; Target tracking; Vectors; Velocity measurement; Kalman filter; alpha-beta filter; fading memory filter; process noise; tracking filter;
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
DOI :
10.1109/SICE.2008.4655118
