Title :
Analytical solution of α-β-Γ colored noise tracking filter with a noisy jerk as correlated target maneuver model
Author :
Arcasoy, Cengiz C.
Author_Institution :
Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Mersin, Turkey
Abstract :
An analysis of a discrete constant gain α-β-Γ colored noise tracking filter where target acceleration is correlated in time is presented in the frequency domain. The steady-state gain solution for the same tracking filter was given in Arcasoy (1996) where the maneuver correlation coefficient θ was assumed to be zero. The target was assumed to be moving with constant acceleration and was acted upon by a zero mean noise jerk which perturbs its constant acceleration motion. In this work, the close-form results for estimating optimum steady-state position, velocity and acceleration of the target are given. The gain can be calculated from the solution of the constant coefficient quartic equation for given system parameters that is in the same form as that given in Arcasoy (1996), Arcasoy and Blair (1996) and Arcasoy and Ouyang (1997). The stability analysis of the optimal tracking filter yields the selection of the quartic equation root
Keywords :
Kalman filters; covariance matrices; filtering theory; frequency-domain analysis; noise; stochastic systems; target tracking; α-β-Γ colored noise tracking filter; analytical solution; constant coefficient quartic equation; correlated target maneuver model; noisy jerk; optimal tracking filter; optimum steady-state acceleration; optimum steady-state position; optimum steady-state velocity; stability analysis; target acceleration; Colored noise; Covariance matrix; Kalman filters; MATLAB; Mathematical model; Nonlinear filters; Position measurement; Riccati equations; Sampling methods; Steady-state;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.611926