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Thai Tamarind Fans

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Antenna Design & Modeling Software | Ansys

system sensitivity to parameter variation will be determined by simulating a wide range of 3-d field solver inputs for each antenna parameter. the range of the parametric variation is defined as the difference between the high and low extremes of the parametric variation. the high parameter value is taken as the true parameter with the software taking the low parameter value as the default. for example, in figure 10 the range of the variation for the short circuit capacitance is from 0.002 to 0.012. the range of the variation of the capacitance will be greater in an amp's hot and cold temperature operating point (see figure 15). for each range of variation, the 3-d field solver is used to generate the 3-d solution and results in a set of 3-d field solver inputs. the initial solution is generated at the first range of variation. the 3-d field solver is then called again with the next range of variation, the 3-d solution is generated and the differences are reported. this process is repeated for each range of variation to form a series of 3-d solutions.

Hfss Antenna Design Kit

note that in the circuit simulation, the amplifier and phase shifter paths do not represent rf power delivery and are purely for verification purposes. an ideal power amplifier is used for this purpose. the dc gain of the ideal power amplifier is obtained from a previous ac characterization of the amplifier (figure 9) whereas the phase is set using the parameters from the network design. phase variation is seen as a shift of the return loss curve of the amplifier. as both the phase and amplitude weights are designed for optimal rf performance, they directly map onto the rf performance of the system. any tradeoffs affecting the performance of the rf system are reflected in the channel parameter grid plots. as shown in figure 10, in the case of the channel parameter grid, optimal performance is obtained around 0.5 for the range of the parameters considered.


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