AIMS II: Fast and robust advanced iterative matrix solver implemented on IE3D.
AIMS III (1): Memory efficient and robust advanced iterative matrix solver on IE3D.
AIMS III (2): Same as AIMS III (1) except it has pre-conditioning enabled.
Notes: The simulations are performed on a Pentium III 450 MHz machine with 512 MB RAM. The simulation time is minutes per frequency point. The "*"s indicate estimated values.
Example 1: An 8 by 2 patch antenna array: Total 2644 cells and 3828 unknowns created:
| RAM (MB) | HD Space (MB) | Time (minute) | Primary Matrix | |
| SMSi | 118 | 0 | 27.8 | 50% |
| AIMS II | 59 | 20 | 11.5 | 6.3% |
| AIMS III (1) | 25 | 10 | 27.0 | 3.2% |
| AIMS III (2) | 31 | 12 | 12.0 | 3.2% |
Example 2: An 8 by 4 patch antenna array: Total 5498 cells and 7866 unknowns created:
| RAM (MB) | HD Space (MB) | Time (minute) | Primary Matrix | |
| SMSi | 490 | 0 | 241 | 50% |
| AIMS II | 210 | 40 | 82 | 3.2% |
| AIMS III (1) | 51 | 20 | 122 | 1.6% |
| AIMS III (2) | 62 | 25 | 51 | 1.6% |
Example 3: An 8 by 8 patch antenna array: Total 11093 cells and 15829 unknowns:
| RAM (MB) | HD Space (MB) | Time (minute) | Primary Matrix | |
| SMSi | 2005* | 0 | 1965* | 50% |
| AIMS II | 730* | 96* | 502* | 1.6% |
| AIMS III (1) | 100 | 41 | 424 | 0.8% |
| AIMS III (2) | 122 | 48 | 216 | 0.8% |
IE3D Accurate and Efficient Simulation of Large Structures
Shown in the following picture is an 8 by 8 patch antenna array with feed network modeled on the IE3D 8.0 pre-release version, using the AIMS III advanced iterative matrix solver. The simulation includes all the coupling between elements and the feed network and does not neglect anything. It takes about 424 minutes per frequency point on a Pentium III 450 MHz machine using about 100 MB RAM.
COMMENTS:
The figure above shows the solved
current distributin of the 8 by 8 patch array including feed network. For the
iterative matrix solvers implemented into the IE3D 8.0, all the coupling
between the elements and the feed network is included in the simulation. No
approximation is used in including the far coupling and the final solution is a
precise one. The iterative matrix solvers require users to define the
separation distance which has a default value of 10 cells. The AIMS solvers
save much simulation time and RAM. The pre-conditioning in AIMS III (2) causes
some more RAM than the regular AIMS III (1). However, it saves about 50% of the
simulation time.