DocumentCode :
3410553
Title :
Filter coefficient selection using design criteria
Author :
Gray, John E. ; Foster, George J.
Author_Institution :
Naval Surface Warfare Center, Dahlgren, VA, USA
fYear :
1996
fDate :
31 Mar-2 Apr 1996
Firstpage :
275
Lastpage :
279
Abstract :
For tracking systems with a uniform data rate and stationary measurement noise, non-manoeuvring targets can be accurately tracked with a steady-state Kalman filter. The steady-state Kalman filter, which can be viewed as equivalent to an alpha-beta filter, has been widely applied to many different systems. A means of selecting the filter coefficients was proposed by Kalata (1984) using Kalman filter considerations. An alternative method based on noise reduction ratios is presented in this paper. Using a design criteria with the Kalata relation, optimal filter coefficients can be selected for specific applications. This method generalizes current methods for selecting the filter coefficients
Keywords :
Kalman filters; filtering theory; minimisation; radar tracking; target tracking; Kalata relation; Kalman filter; alpha-beta filters; data rate; design criteria; filter coefficient selection; noise reduction ratios; non-manoeuvring target tracking; stationary measurement noise; tracking radar; tracking systems; Equations; Filters; Noise measurement; Noise reduction; Position measurement; Radar measurements; Radar tracking; Steady-state; Target tracking; Velocity measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on
Conference_Location :
Baton Rouge, LA
ISSN :
0094-2898
Print_ISBN :
0-8186-7352-4
Type :
conf
DOI :
10.1109/SSST.1996.493513
Filename :
493513
Link To Document :
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