DocumentCode
530106
Title
Smoothing irregular data using polynomial filters
Author
Reyneke, Pieter ; Morrison, Norman ; Kourie, Derrick ; de Ridder, Corné
Author_Institution
Dept. Radar & Imaging Syst., Denel Dynamics, Irene, South Africa
fYear
2010
fDate
15-17 Sept. 2010
Firstpage
393
Lastpage
397
Abstract
To make provision for irregularly occurring updates a “variable-step” polynomial filter is derived which improves the smoothing-, and coasting capabilities of the 1-step predictor and the current-estimate polynomial filters. Similar to the original filters, the variable-step polynomial filter comprises an auto-initialising expanding memory filter which later switches to a fading memory filter. Results are compared by running the proposed and original filter versions in parallel.
Keywords
polynomials; smoothing methods; 1-step predictor; auto initializing expanding memory filter; coasting capability; current estimate polynomial filters; fading memory filter; irregular data smoothing capability; variable step polynomial filter; Fading; Mathematical model; Missiles; Noise measurement; Polynomials; Smoothing methods; Extrapolation; Polynomial approximation; Radar tracking filters; Smoothing; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
ELMAR, 2010 PROCEEDINGS
Conference_Location
Zadar
ISSN
1334-2630
Print_ISBN
978-1-4244-6371-8
Electronic_ISBN
1334-2630
Type
conf
Filename
5606129
Link To Document