A NOTE ON THE TESTING FUNCTIONS USED IN THE METHOD-OF-MOMENTS SOLUTION OF THIN-WIRE ANTENNA PROBLEMS

1993 ◽  
Vol 6 (13) ◽  
pp. 786-787
Author(s):  
Bryan P. Rynne
Keyword(s):  
Method Of Moments ◽  
Wire Antenna ◽  
Thin Wire

A Simulation Exercise in Antenna Analysis Using Mininec

1989 ◽  
Vol 26 (4) ◽  
pp. 355-366 ◽  
Author(s):  
B. A. Austin
Keyword(s):  
Transmission Line ◽  
Method Of Moments ◽  
Simple Procedure ◽  
Wire Antenna ◽  
Thin Wire ◽  
Simulation Exercise ◽  
Or Modelling

The method of moments is used in the form of the MININEC software to analyse a thin wire antenna with lumped lossy loading. As an exercise in antenna simulation or modelling it complements very effectively a simple procedure where the antenna is treated as an opened-out transmission line.

scholarly journals Closed-Form Expressions for Numerical Evaluation of Self-Impedance Terms Involved on Wire Antenna Analysis by the Method of Moments

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1316
Author(s):  
Carlos-Ivan Paez-Rueda ◽  
Arturo Fajardo ◽  
Manuel Pérez ◽  
Gabriel Perilla
Keyword(s):  
Numerical Integration ◽  
Method Of Moments ◽  
Computing Time ◽  
Basis Functions ◽  
Wire Antenna ◽  
Complex Geometries ◽  
Point Matching ◽  
Piecewise Constant ◽  
Matching Procedure ◽  
Time Required

This paper proposes new closed expressions of self-impedance using the Method of Moments with the Point Matching Procedure and piecewise constant and linear basis functions in different configurations, which allow saving computing time for the solution of wire antennas with complex geometries. The new expressions have complexity O(1) with well-defined theoretical bound errors. They were compared with an adaptive numerical integration. We obtain an accuracy between 7 and 16 digits depending on the chosen basis function and segmentation used. Besides, the computing time involved in the calculation of the self-impedance terms was evaluated and compared with the time required by the adaptative quadrature integration solution of the same problem. Expressions have a run-time bounded between 50 and 200 times faster than an adaptive numerical integration assuming full computation of all constant of the expressions.

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