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Filter coefficient selection using design criteria

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2 Author(s)
J. E. Gray ; Naval Surface Warfare Center, Dahlgren, VA, USA ; G. J. Foster

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

Published in:

System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on

Date of Conference:

31 Mar-2 Apr 1996