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Smart Reduction

 

The special feature intended for antenna placement problems is “smart reduction”. It is based on adaptive reduction of current expansion order over parts of the model which are distant from the antenna or in shadow. This way, the number of unknowns is reduced 3-10 times, while very good accuracy of calculated radiation pattern or coupling between multiple antennas is preserved.

In addition, regions of the platform regarded by the user to be in shadow are additionally treated. Expansion orders on all patches in shadow are decreased uniformly, in addition to the distance-to-the-antenna factor.

 Case Study – Antenna placed on a large payload fairing

λ/2 dipole is placed above a large platform representing a payload fairing. The fairing length is 8.66 meters, while the largest cross-section diameter is 2.9 meters. Simulation frequency is 2 GHz, which means that fairing length is about 58 λ.

With one symmetry plane applied, the model requires 44614 unknowns (rigorous MoM). Thus, 15.9 GB of memory would be needed for simulation.

By applying “smart reduction” and one shadow region, memory requirements are significantly diminished. Four different sizes of the shadow region were tried (figure to the right).

All the results show very good agreement. With as few as 5000 unknowns, discrepancies occur at side-lobes with levels lower than 25 dB relative to the gain. At that point, the model employs 9 times less unknowns than the one with default formulation, occupying about 80 times less memory.

All four simulations were done on a Pentium 4 computer with a 3.2 GHz CPU, employing the iterative solver. In case of 4983 unknowns, iterative solver needed 85 iterations and 201 seconds to provide the acceptably accurate radiation pattern.

Payload fairing model

 

Radiation pattern – plane perpendicular to the dipole
antenna axis

 

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