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Summary
Summary
Responding to the need for a clear, up-to-date introduction to the field, The Method of Moments in Electromagnetics explores surface integral equations in electromagnetics and presents their numerical solution using the method of moments (MOM) technique. It provides the numerical implementation aspects at a nuts-and-bolts level while discussing integral equations and electromagnetic theory at a higher level.
The author covers a range of topics in this area, from the initial underpinnings of the MOM to its current applications. He first reviews the frequency-domain electromagnetic theory and then develops Green's functions and integral equations of radiation and scattering. Subsequent chapters solve these integral equations for thin wires, bodies of revolution, and two- and three-dimensional problems. The final chapters examine the contemporary fast multipole method and describe some commonly used methods of numerical integration, including the trapezoidal rule, Simpson's rule, area coordinates, and Gaussian quadrature on triangles. The text derives or summarizes the matrix elements used in every MOM problem and explains the approach used in and results of each example.
This book provides both the information needed to solve practical electromagnetic problems using the MOM and the knowledge necessary to understand more advanced topics in the field.
Table of Contents
Preface | p. ix |
Acknowledgments | p. xiii |
About the Author | p. xv |
Chapter 1 Computational Electromagentics | p. 1 |
1.1 Computational Electromagnetics Algorithms | p. 1 |
1.1.1 Low-Frequency Methods | p. 2 |
1.1.2 High-Frequency Methods | p. 2 |
References | p. 4 |
Chapter 2 A Brief Review of Electromagnetics | p. 5 |
2.1 Maxwell's Equations | p. 5 |
2.2 Electromagnetic Boundary Conditions | p. 6 |
2.3 Formulations for Radiation | p. 6 |
2.3.1 Three-Dimensional Green's Function | p. 8 |
2.3.2 Two-Dimensional Green's Function | p. 9 |
2.4 Vector Potentials | p. 10 |
2.4.1 Magnetic Vector Potential | p. 11 |
2.4.2 Electric Vector Potential | p. 12 |
2.4.3 Comparison of Radiation Formulas | p. 13 |
2.5 Near and Far Fields | p. 14 |
2.5.1 Near Field | p. 15 |
2.5.2 Far Field | p. 16 |
2.6 Equivalent Problems | p. 18 |
2.6.1 Surface Equivalent | p. 18 |
2.6.2 Physical Equivalent | p. 20 |
2.7 Surface Integral Equations | p. 25 |
2.7.1 Electric Field Integral Equation | p. 25 |
2.7.2 Magnetic Field Integral Equation | p. 26 |
2.7.3 Combined Field Integral Equation | p. 28 |
References | p. 30 |
Chapter 3 The Method of Moments | p. 33 |
3.1 Electrostatic Problems | p. 33 |
3.1.1 Charged Wire | p. 34 |
3.1.2 Charged Plate | p. 39 |
3.2 The Method of Moments | p. 43 |
3.2.1 Point Matching | p. 44 |
3.2.2 Galerkin's Method | p. 44 |
3.3 Common Two-Dimensional Basis Functions | p. 45 |
3.3.1 Pulse Functions | p. 45 |
3.3.2 Piecewise Triangular Functions | p. 45 |
3.3.3 Piecewise Sinusoidal Functions | p. 46 |
3.3.4 Entire-Domain Functions | p. 47 |
3.3.5 Number of Basis Functions | p. 47 |
3.4 Solution of Matrix Equations | p. 48 |
3.4.1 Gaussian Elimination | p. 48 |
3.4.2 LU Decompositon | p. 50 |
3.4.3 Condition Number | p. 52 |
3.4.4 Iterative Methods | p. 53 |
3.4.5 Examples | p. 57 |
3.4.6 Commonly Used Matrix Algebra Software | p. 58 |
References | p. 61 |
Chapter 4 Thin Wires | p. 63 |
4.1 Thin Wire Approximation | p. 63 |
4.2 Thin Wire Excitations | p. 65 |
4.2.1 Delta-Gap Source | p. 65 |
4.2.2 Magnetic Frill | p. 66 |
4.2.3 Plane Wave | p. 67 |
4.3 Solving Hallen's Equation | p. 68 |
4.3.1 Symmetric Problems | p. 69 |
4.3.2 Asymmetric Problems | p. 71 |
4.4 Solving Pocklington's Equation | p. 72 |
4.4.1 Solution by Pulse Functions and Point Matching | p. 73 |
4.5 Thin Wires of Arbitrary Shape | p. 73 |
4.5.1 Redistribution of EFIE Differential Operators | p. 74 |
4.5.2 Solution Using Triangle Basis and Testing Functions | p. 75 |
4.5.3 Solution Using Sinusoidal Basis and Testing Functions | p. 77 |
4.5.4 Lumped and Distributed Impedances | p. 78 |
4.6 Examples | p. 79 |
4.6.1 Comparison of Thin Wire Models | p. 79 |
4.6.2 Circular Loop Antenna | p. 83 |
4.6.3 Folded Dipole Antenna | p. 86 |
4.6.4 Two-Wire Transmission Line | p. 87 |
4.6.5 Matching a Yagi Antenna | p. 89 |
References | p. 94 |
Chapter 5 Two-Dimensional Problems | p. 95 |
5.1 Two-Dimensional EFIE | p. 95 |
5.1.1 EFIE for a Strip: TM Polarization | p. 95 |
5.1.2 Generalized EFIE: TM Polarization | p. 100 |
5.1.3 EFIE for a Strip: TE Polariation | p. 102 |
5.1.4 Generalized EFIE: TE Polarization | p. 107 |
5.2 Two-Dimensional MFIE | p. 109 |
5.2.1 MFIE: TM Polarization | p. 109 |
5.2.2 MFIE: TE Polarization | p. 111 |
5.3 Examples | p. 113 |
5.3.1 Scattering by an Infinite Cylinder: TM Polarization | p. 113 |
5.3.2 Scattering by an Infinite Cylinder: TE Polarization | p. 115 |
References | p. 124 |
Chapter 6 Bodies of Revolution | p. 125 |
6.1 BOR Surface Description | p. 125 |
6.2 Surface Current Expansion on a BOR | p. 126 |
6.3 EFIE for a Conducting BOR | p. 127 |
6.3.1 EFIE Matrix Elements | p. 127 |
6.3.2 Excitation | p. 130 |
6.3.3 Scattered Field | p. 134 |
6.4 MFIE for a Conducting BOR | p. 136 |
6.4.1 MFIE Matrix Elements | p. 137 |
6.4.2 Excitation | p. 140 |
6.4.3 Scattered Field | p. 141 |
6.5 Notes on Software Implementation | p. 141 |
6.5.1 Parallelization | p. 141 |
6.5.2 Convergence | p. 142 |
6.6 Examples | p. 142 |
6.6.1 Galaxy | p. 142 |
6.6.2 Conducting Sphere | p. 142 |
6.6.3 EMCC Benchmark Targets | p. 145 |
6.6.4 Biconic Reentry Vehicle | p. 152 |
6.6.5 Summary of Examples | p. 159 |
References | p. 159 |
Chapter 7 Three-Dimensional Problems | p. 161 |
7.1 Representation of Three-Dimensional Surfaces | p. 161 |
7.2 Surface Currents on a Triangle | p. 164 |
7.2.1 Edge Finding Algorithm | p. 165 |
7.3 EFIE for Three-Dimensional Conducting Surfaces | p. 167 |
7.3.1 EFIE Matrix Elements | p. 167 |
7.3.2 Singular Matrix Element Evaluation | p. 168 |
7.3.3 EFIE Excitation Vector Elements | p. 176 |
7.3.4 Radiated Field | p. 178 |
7.4 MFIE for Three-Dimensional Conducting Surfaces | p. 179 |
7.4.1 MFIE Matrix Elements | p. 179 |
7.4.2 MFIE Excitation Vector Elements | p. 184 |
7.4.3 Radiated Field | p. 184 |
7.4.4 Accuracy of RWG Functions in MFIE | p. 184 |
7.5 Notes on Software Implementation | p. 185 |
7.5.1 Memory Management | p. 185 |
7.5.2 Parallelization | p. 185 |
7.6 Considerations for Modeling with Triangles | p. 187 |
7.6.1 Triangle Aspect Ratios | p. 187 |
7.6.2 Watertight Meshes and T-Junctions | p. 188 |
7.7 Examples | p. 188 |
7.7.1 Serenity | p. 189 |
7.7.2 RCS of a Sphere | p. 189 |
7.7.3 EMCC Plate Benchmark Targets | p. 189 |
7.7.4 Strip Dipole Antenna | p. 198 |
7.7.5 Bowtie Antenna | p. 199 |
7.7.6 Archimedean Spiral Antenna | p. 201 |
7.7.7 Summary of Examples | p. 204 |
References | p. 205 |
Chapter 8 The Fast Multipole Method | p. 209 |
8.1 The Matrix-Vector Product | p. 210 |
8.2 Addition Theorem | p. 210 |
8.2.1 Wave Translation | p. 212 |
8.3 FMM Matrix Elements | p. 213 |
8.3.1 EFIE Matrix Elements | p. 213 |
8.3.2 MFIE Matrix Elements | p. 214 |
8.3.3 CFIE Matrix Elements | p. 215 |
8.3.4 Matrix Transpose | p. 215 |
8.4 One-Level Fast Multipole Algorithm | p. 215 |
8.4.1 Grouping of Basis Functions | p. 215 |
8.4.2 Near and Far Groups | p. 216 |
8.4.3 Number of Multipoles | p. 216 |
8.4.4 Sampling Rates and Integration | p. 218 |
8.4.5 Transfer Functions | p. 219 |
8.4.6 Radiation and Receive Functions | p. 220 |
8.4.7 Near-Matrix Elements | p. 220 |
8.4.8 Matrix-Vector Product | p. 221 |
8.4.9 Computational Complexity | p. 222 |
8.5 Multi-Level Fast Multipole Algorithm (MLFMA) | p. 222 |
8.5.1 Grouping via Octree | p. 222 |
8.5.2 Matrix-Vector Product | p. 223 |
8.5.3 Interpolation Algorithms | p. 227 |
8.5.4 Transfer Functions | p. 229 |
8.5.5 Radiation and Receive Functions | p. 230 |
8.5.6 Interpolation Steps in MLFMA | p. 230 |
8.5.7 Computational Complexity | p. 231 |
8.6 Notes on Software Implementation | p. 231 |
8.6.1 Initial Guess in Iterative Solution | p. 231 |
8.6.2 Memory Management | p. 232 |
8.6.3 Parallelization | p. 234 |
8.6.4 Vectorization | p. 234 |
8.7 Preconditioning | p. 235 |
8.7.1 Diagonal Preconditioner | p. 235 |
8.7.2 Block Diagonal Preconditioner | p. 236 |
8.7.3 Inverse LU Preconditioner | p. 236 |
8.7.4 Sparse Approximate Inverse | p. 237 |
8.8 Examples | p. 240 |
8.8.1 Bistatic RCS of a Sphere | p. 240 |
8.8.2 EMCC Benchmark Targets | p. 240 |
8.8.3 Summary of Examples | p. 245 |
References | p. 252 |
Chapter 9 Integration | p. 255 |
9.1 One-Dimensional Integration | p. 255 |
9.1.1 Centroidal Approximation | p. 255 |
9.1.2 Trapezoidal Rule | p. 256 |
9.1.3 Simpson's Rule | p. 258 |
9.1.4 One-Dimensional Gaussian Quadrature | p. 259 |
9.2 Integration over Triangles | p. 260 |
9.2.1 Simplex Coordinates | p. 260 |
9.2.2 Radiation Integrals with a Constant Source | p. 262 |
9.2.3 Radiation Integrals with a Linear Source | p. 265 |
9.2.4 Gaussian Quadrature on Triangles | p. 267 |
References | p. 269 |
Index | p. 271 |