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February 4, 2019 at 3:49 pmomidugaSubscriber
How do HFSS use Interpolation Sweep since it does not solve fields in each frequency in this sweep type?
How is the accuracy of the response in the narrowband application?
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February 4, 2019 at 7:08 pmPeter SeranoAnsys Employee
An Interpolating sweep estimates a solution for an entire frequency range. HFSS chooses the frequency points at which to solve the field solution so that the entire interpolated solution lies within a specified error tolerance. The sweep is complete when the solution meets the error tolerance criterion or generates the maximum number of solutions. To view more information about the solution, increase the number of steps and perform the sweep again.
The field solution for each point is deleted so that a new field solution can be generated for the next point. The full-field solution is only saved for the final frequency point computed. The S-parameters are saved for every solved frequency point.
Choose an Interpolating sweep if the frequency range is wide and the frequency response is smooth with the exception of a few resonances, or if the memory requirements of a Fast sweep exceed your resources. An Interpolating sweep's time requirement may be much less than a Discrete sweep's because a solution for the entire frequency range is interpolated based on solutions for a minimal number of frequency points. The maximum time required for an Interpolating sweep is the time required for a single frequency solution multiplied by the maximum number of solutions.
Be aware that HFSS uses the finite element mesh refined during an adaptive solution at the solution frequency or, if you did not request an adaptive solution, the initial mesh generated for the problem. It uses this mesh without further refinement.
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