DocumentCode :
1301560
Title :
The /spl alpha/-/spl beta/-/spl Gamma/ tracking filter with a noisy jerk as the maneuver model: frequency domain solution
Author :
Arcasoy, C.C.
Author_Institution :
Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Famagusta, Cyprus
Volume :
32
Issue :
3
fYear :
1996
fDate :
7/1/1996 12:00:00 AM
Firstpage :
1170
Lastpage :
1174
Abstract :
An analysis of a discrete constant gain α-β-Γ tracking filter is presented in frequency domain. The target is assumed to be moving with constant acceleration and is acted upon by an uncorrelated zero mean noise jerk which perturbs its constant acceleration motion. Closed-formed results for estimating optimum steady-state position, velocity, and acceleration of the target are given along with the code for simple program that computes the gains for a given tracking index. While the results [2 and 4] are correct, the gains can be found in a much simpler manner The stability analysis of the optimal tracking filter yields the selection of the quartic equation root.
Keywords :
Kalman filters; filtering theory; frequency-domain analysis; matrix algebra; parameter estimation; random noise; stability; stochastic systems; target tracking; tracking filters; /spl alpha/-/spl beta/-/spl Gamma/ tracking filter; Closed-formed results; acceleration estimation; constant acceleration; constant acceleration motion; discrete constant; frequency domain solution; gains; maneuver model; noisy jerk; optimum steady-state position estimation; quartic equation root; stability analysis; target; tracking index; uncorrelated zero mean noise jerk; velocity estimation; Acceleration; Covariance matrix; Equations; Frequency domain analysis; Frequency response; Kalman filters; Motion analysis; Predictive models; Stability analysis; Steady-state; Stochastic systems; Target tracking;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/7.532279
Filename :
532279
Link To Document :
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