Multiple Domain Basis Functions and Other Recent Advances in MoM | Application of Composite Multiple Domain Basis Functions to Wire Antennas Local Improvement of Condition Number

Albert Lysko

ISBN 10: 3838361334 / ISBN 13: 9783838361338

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

Multiple Domain Basis Functions and Other Recent Advances in MoM | Application of Composite Multiple Domain Basis Functions to Wire Antennas Local Improvement of Condition Number | Albert Lysko | Taschenbuch | 268 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838361338 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 107412727

Bibliographic Details

• Title: Multiple Domain Basis Functions and Other Recent Advances in MoM | Application of Composite Multiple Domain Basis Functions to Wire Antennas Local Improvement of Condition Number
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3838361334
• ISBN 13: 9783838361338
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 17D millimeters 220 millimeters width by 150 millimeters height by 17 millimeters depth
• Weight: 417 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The work discusses several extentions to the method of moments (MoM), considered in the context of electromagnetics. The topics include the interpolating multiple domain basis functions (MDBF), and improvement to the condition number of the impedance matrix. The main focus in the work is on a realization of the novel composite multiple domain basis functions (MDBF), enabling an efficient treatment for curved structures, which is backward compatible with most of the existing MoM codes. The MDBF is a profiled linear combination of common basis functions (BF), such as piecewise linear (PWL). The method also permits to extend the thin wire approximation. Several automatic algorithms were developed to implement the method. The method realizing MDBFs has been applied to several examples, demonstrating an order of magnitude reduction in the number of unknowns required and translating into a hundred-fold memory saving. Furthermore, a theoretical basis for applying higher order polynomial basis functions has been introduced. Most of the methods introduced in the work may be applied in other computational fields, e.g. structural analysis.

About the Author

Albert Lysko, PhD worked at universities and in private consulting, focussing on electromagnetics. He dealt with both measurements and modeling. Specifically, his research interests focussed on computational electromagnetics. Dr Lysko is a Senior Member of and reviewer for IEEE. He authored and co-authored over 23 papers.