Simulation Software Optimizes Missile Antennas

Simulation Software Optimizes Missile Antennas

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Antenna arrays are making themselves useful in applications ranging from biomedical to radar. Such diverse applications place the arrays in environments that are far from their planar performance ideal. To effectively predict and optimize the behavior of non-planar antenna arrays, powerful 3D simulators could be used in the initial design stages. Remcom has released an application note investigating this option titled,  “Conformal Antenna Array Design on a Missile Platform.”

The example in the application note is a 12-×-1 antenna array mounted on the side body of a theoretical missile. The design must overcome the challenging constraints of having a radiative body as an antenna-array mounting surface while meeting airborne weaponry standards. The specifications of operation for this demonstration include a center frequency of 2.4 GHz, a main beam gain greater than 10 dBi, and side-lobe levels that are less than 20 dB below the peak gain figures.

Simulation Software Optimizes Missile Antennas, Fig. 1
A 12-×-1 linear antenna array is optimized for sidelobe reduction in 7 min. and 20 sec. using multiple GPUs during the simulation process. (Courtesy of Remcom)

A planar conformal antenna is required to meet the surface requirements of the missile body. A parametric investigation is performed to optimize the patch antenna array for performance. The array is then bent to the missile’s body shape for aerodynamics. Such bending shifts the operating frequency close to 2.45 GHz. After a slight patch diameter variation, however, the operating frequency again conforms to the specification. Scripts from Remcom’s library are used to choose the array amplitude and phase in order to meet the sidelobe and main gain figures.

The antenna array is then integrated into a 3D model of the missile body. Simulations are run using a variety of computer hardware permutations to demonstrate the time enhancements of using multicore graphical processing units (GPUs) for simulation. Using a single Intel Core i7, the simulation required 3 hrs. and 13 min. of simulation time. In contrast, using a single Nvidia Tesla C2070 GPU brought the simulation time down to 29 min. and 40 sec. Six Nvidia GPUs lowered the simulation time to 7 min. and 20 sec. This example demonstrates the simulation-time performance that can be acquired from GPU processing using 3D electromagnetic simulation software that can leverage the CUDA environment.

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