Referenced Items are not available for this document.
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
- Page(s):
- 275 - 279
- Meeting Date :
- 31 Mar 1996-02 Apr 1996
- ISSN :
- 0094-2898
- Print ISBN:
- 0-8186-7352-4
- INSPEC Accession Number:
- 5274538
- Conference Location :
- Baton Rouge, LA
- Digital Object Identifier :
- 10.1109/SSST.1996.493513
- Product Type:
- Conference Publications
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