Lysko, Albert A2010-07-222010-07-222010-03Lysko, A.A. 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 696-70097819341421271559-9450http://hdl.handle.net/10204/411727th Progress in Electromagnetics Research Symposium (PIERS 2010), Xi'an, China, 22-26 March 2010The 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.enCoil-loaded wire AntennaMacro basis functionsElectromagneticsCoil-loaded monopoleGeometrical segmentsElectromagneticsPIERS 2010Conference PresentationLysko, A. A. (2010). Modelling of coil-loaded wire antenna using composite multiple domain basis functions. http://hdl.handle.net/10204/4117Lysko, Albert A. "Modelling of coil-loaded wire antenna using composite multiple domain basis functions." (2010): http://hdl.handle.net/10204/4117Lysko AA, Modelling of coil-loaded wire antenna using composite multiple domain basis functions; 2010. http://hdl.handle.net/10204/4117 .TY - Conference Presentation AU - Lysko, Albert A AB - 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. DA - 2010-03 DB - ResearchSpace DP - CSIR KW - Coil-loaded wire Antenna KW - Macro basis functions KW - Electromagnetics KW - Coil-loaded monopole KW - Geometrical segments KW - Electromagnetics KW - PIERS 2010 LK - https://researchspace.csir.co.za PY - 2010 SM - 9781934142127 SM - 1559-9450 T1 - Modelling of coil-loaded wire antenna using composite multiple domain basis functions TI - Modelling of coil-loaded wire antenna using composite multiple domain basis functions UR - http://hdl.handle.net/10204/4117 ER -