Solver functions have custom settings that can be changed by selecting the
Advanced Options button in the Solver Functions. Pressing
this button shows a dialog with two visible tabs (three if MacroBasis Function
method is selected):
Main Properties: This tab has settings for changing
how the solver works, including which kind of algorithm will the solver
use.
Preconditioner: This tab contains available
preconditioners for the selected solver.
CBFs Properties: This tab is only enabled when the
solver functions are set to CBFs.
The Main Properties tab looks like this:
Figure 1. Solver Advanced Options. Main Properties tab
Solver: Three algorithms to solve the problem are
available. We can choose between two iterative methods, like BICGSTAB
(BiConjugate Gradient STAbilized method) and GMRES (Generalized Minimal Residual
method), and the DIRECT solver. If no convergence is achieved by using any of
the iterative methods, it is recommended to try to use the other one.
Note: The direct solution method may require huge memory and
time resources when a large number of unknowns is considered.
Speed Up: If the user enables the speed-up, this option
reduces the analysis time for problems that have several frequencies.
More Properties: The user can specify the next parameters
Conductor losses: the metallic structures may
induce the conduction losses defined by its parameter, specified in
Ohm/m. By default, no conductor losses are considered.
Region Size: this parameter defines the size edge
(in terms of wavelengths) of the regions
generated in the MLFMA-MoM (Multi-Level Fast Multipole
Algorithm – Method of Moments) algorithm.
Maximum Multipole Level: it is an advanced
parameter that defines the maximum number of levels considered in the
MLFMA-MoM solver to consider the coupling
effect. The default value (-1) consider the coupling in every levels,
whereas an integer positive value specifies that the coupling is only
considered between the regions up to this level. The more levels
consider the coupling effect, the more accurate is the provided solution
but also the slower is the solution process. Radiation
Level this parameter sets the maximum radiation level in
the multipole generation to obtain the radiated fields. The default
value (-1) let the program to adjust automatically this configuration.
For very large simulations, it may be used to save memory and time
resources by avoiding the computation of radiated far field in the
largest regions.
Compute 3D Pattern: The 3D
Pattern is a spherical diagram that shows the field
distribution of the analyzed problem. The resolution of the spherical
diagram may be modified by the user with the Angle
Step parameter (in degrees), that specifies the angular
step taken into account in the diagram computation. Disable the
Compute 3D Pattern to avoid the 3D
Pattern generation whenever it is not required, the
simulation time may be reduced.
In the subdomains analysis, the user can enable the preconditioner to speed up the
resolution of the problem with the Enable Preconditioner
option. The user can choose between two different preconditioners:
Diagonal Preconditioner The diagonal preconditioner is
fast to compute and requires a reduced amount of memory, although the
improvement in the convergence rate it produces is normally moderate. This
preconditioner it is only recommended when more than 8 divisions per wavelength
is set in the meshing process, as a shorter number of divisions slows down the
convergence instead not using this preconditioner.
Sparse Approximate Inverse Preconditioner (SAI) This
preconditioner will generally result in a faster convergence than the diagonal
preconditioner.
Use SAI initial currents: This option set the
currents computed using the SAI preconditioner as the initial vector of
the iterative method. It may be useful if not convergence is achieved in
the solution of the problem.
Sparsity Distance: This parameter is expressed in
wavelengths (0.25 as the default value) and indicates how accurately
this preconditioner will resemble the inverse of the rigorous MoM
matrix. Higher values will normally involve a faster convergence, but
the memory required to store the preconditioner data will grow fast,
non-linearly. We advice to keep the default value or increase it
slightly in case of specially ill-conditioned systems.
Filtering Threshold: These parameters should
contain a value between 0.0 and 1.0. The default values should be
adequate in most cases.
Pre-Processing: This parameter controls the
amount of data considered to generate the preconditioner. Lower values
entail a more accurate generation, while higher values entail a faster
computation.
Post-Processing: This parameter controls the
amount of data to be stored after the generation of the preconditioner.
Lower values entail better convergence, while higher values entail less
RAM required to store the preconditioner.
MPI Data Exchange Frequency: This parameter sets
up how often the MPI nodes request more coupling terms to generate the
preconditioner. Larger values require less interactions speeding up the
simulation, although more memory will be needed to store these terms. A
negative or 0 value indicates that the coupling terms are only exchanged
once.
Hybrid (Diagonal + SAI) : This preconditioner is suited
for memory-shared machines, in which case will use both Diagonal and SAI
preconditioners.
Due to its numerical nature, the SAI preconditioner is better
suited for the case of shared memory parallelization (
OpenMP), while the conventional diagonal preconditioner can
be used either for OpenMP or for the
MPI paradigm.
CBFs Propierties tab (available only for antennas with radome structures):
When Macro Basis Functions (CBFs Radome) option is enabled in
the panel Solver Functions in the
Solver menu, the following options are available as
well:
These settings let the user configure different parameters of the CBFM method. For
most of the analysis, default parameters are suitable.
Generation method: CBFs can be generated using PO
currents or MoM currents (default MoM). In this last option, it is desirable
to extend the size of the block to avoid the edge effect. The extension is
selected in the Block Extension (MoM) panel (by
default, 0.2 lambda).
Generation Options: There are several techniques that
could speed up the generation of CBF. In this panel, you can select the
compression of the PWS using the ACA technique, the hierarchical computation
of the CBFs by dividing the PWS into groups.
Enable ACA Compression for CBFs generation:
This check box enables a compression algorithm using ACA in order to
reduce the number of excitations used to obtain the CBFs. This will
decrease the total simulation time.
Excitation Drop Threshold: With this method, a second
stage is implemented to discard cbfs. In this case, only CBFs that get a
significant impressed field due to external sources are preserved. If used,
a threshold of 0.01 is recommended. Lower values give more accuracy.
Generation Threshold: It is used to set how many cbfs
should be retained to solve the problem (Default 2000).
PWS angular separation: Defines the angular
separation between two plane waves in the PWS, which determines how many
plane waves will be used in generating the PWS. (By default, 10º).
Block size: This parameter defines the size of the
block of the CBFM method in lambdas.
Matrix calculation method: You can define the method
to calculate the reduced matrix of CBFM, using rigorous calculation or
multiple approximation.
Block definition: This option allow to choose the
definition of the block. "Surface-based blocks" define a block that includes
only subdomains inside of a MLFMM region that belongs to the same surface.
"Volume based blocks" define a block as the set of all subdomains inside of
a MLFMM region.
Radome CBFs: This parameter defines the CBFs terms
considered when solving the radome problems.
Enable: Activates the Domain Decomposition
approach for the analysis of Radomes using CBFs and separating the
computation of the antenna and the radome. Three options are
available:
All Cubes: A MLFMA-CBFM full-wave
analysis is performed to solve the radome problem.
Adjacent Cubes: Only the coupling
terms associated to MLFMM-cubes that are adjacent are
considered to solve the radome problem.
Self Block: Only the coupling terms
associated to CBFs that belongs to the same MLFMM-cube are
considered.
Iterations: It defines the number of
interactions between antenna and radome that should be considered to
obtain the solution.