NDLI: What do filter coefficient relationships mean?

Content Provider	IEEE Xplore Digital Library
Author	Gray, J.E. Smith-Carroll, A.S. Murray, W.J.
Copyright Year	2004
Description	Author affiliation: Dept. of Syst. Res. & Technol., Naval Surfare Warfare Center Dahlgren Div., VA, USA (Gray, J.E.; Smith-Carroll, A.S.; Murray, W.J.)
Abstract	There are three commonly used relationships between alpha and beta that are reported in the literature: Kalata, Benedict-Bordner, and continuous white noise. The Kalata relation is obtained from steady state Kalman filter theory assuming zero mean white noise in the position and velocity state equations. The Benedict-Bordner relation is derived based on good noise reduction and good tracking through maneuvers. Both the Kalata and Benedict-Bordner relationships can be derived without any reference to a Kalman filter. The question, given the variety of filter coefficient relationships, is which relationship should be chosen as part of a filter design and why? What does it mean to choose a particular filter coefficient relationship? What is the difference between filter coefficient relationship and a criteria to maximize performance? In this paper, the author tries to give the answer to these questions.
Sponsorship	IEEE Aerospace and Electronic Syst. Soc. IEEE Atlanta Section Georgia Tech Res. Inst
Starting Page	36
Ending Page	40
File Size	361282
Page Count	5
File Format	PDF
ISBN	0780382811
ISSN	00942898
DOI	10.1109/SSST.2004.1295615
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-03-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filters Cost function White noise Equations Steady-state Target tracking Noise reduction Damping Eyes
Content Type	Text
Resource Type	Article

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