DSpace
 

Researchspace >
General science, engineering & technology >
General science, engineering & technology >
General science, engineering & technology >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/4117

Title: Modelling of coil-loaded wire antenna using composite multiple domain basis functions
Authors: Lysko, AA
Keywords: Coil-loaded wire Antenna
Macro basis functions
Electromagnetics
Coil-loaded monopole
Geometrical segments
Electromagnetics
PIERS 2010
Issue Date: Mar-2010
Citation: Lysko, AA. 2010. Modelling of coil-loaded wire antenna using composite multiple domain basis functions. 27th Progress in Electromagnetics Research Symposium (PIERS 2010), Xi'an, China, 22-26 March 2010, pp 696-700
Abstract: The paper discusses aspects of a novel impedance matrix compressing technique and applies the technique to a coil-loaded monopole. The technique can reduce the number of variables required for modelling of structures with curvatures and structures with electrically small features. The reduction in the number of unknowns is accomplished by a logical aggregation/grouping of the individual wire segments into equivalent continuous wires. A single composite basis function is applied over several wire segments. This decouples the number of unknowns from the number of geometrical segments. Aggregation of small features aims a reduction in the impedance matrix's condition number. The example of coil-loaded antenna has shown that the proposed novel algorithm achieves better accuracy with fewer unknowns than the traditional formulation of the method of moments.
Description: 27th Progress in Electromagnetics Research Symposium (PIERS 2010), Xi'an, China, 22-26 March 2010
URI: http://hdl.handle.net/10204/4117
ISBN: 9781934142127
ISSN: 1559-9450
Appears in Collections:High performance computing
Wireless technologies
Advanced mathematical modelling and simulation
General science, engineering & technology

Files in This Item:

File Description SizeFormat
Lysko3_2010.pdf396.59 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback