Title :
Tracking errors in the steady state for a 3 dimensional tracking using a linear filter
Author_Institution :
Nagasaki Univ., Nagasaki
Abstract :
In this paper, we derive equations of the steady state errors of a 3 dimensional linear tracking filter using a constant n-th derivative of a position model. Here, we assume that a constant (n+1)-th derivative of a position vector input signals affected by measurement noises are received from a sensor.
Keywords :
Kalman filters; covariance matrices; state estimation; tracking; 3D linear tracking filter; Kalman filter; covariance matrix; error tracking; measurement noise; position vector input signal; steady state errors; Acceleration; Covariance matrix; Equations; Noise measurement; Nonlinear filters; Position measurement; Sampling methods; Steady-state; Target tracking; Velocity measurement; Kalman filter; steady state error; steady state error covariance matrix; tracking filter; ¿ - Ã\x9f(-¿) filter;
Conference_Titel :
SICE, 2007 Annual Conference
Conference_Location :
Takamatsu
Print_ISBN :
978-4-907764-27-2
Electronic_ISBN :
978-4-907764-27-2
DOI :
10.1109/SICE.2007.4420949
