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Sonnet User's Guide - Sonnet Software

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<strong>Sonnet</strong> User’s <strong>Guide</strong><br />

6 Enter the desired name for the Spice model file in the Model File text entry<br />

box.<br />

A default filename is provided which places the Broadband Spice model file in the<br />

same directory as your source project. If you have selected multiple parameter<br />

combinations, a file is produced for each combination. If you wish to use another<br />

name or save the file in another location you may edit the text entry box.<br />

7 Enter the desired error threshold.<br />

The lower the error threshold you set, the more processing time is required to<br />

calculate the model. The error threshold is the error present between the source<br />

data and the fitted curve and is defined as follows:<br />

Error<br />

=<br />

N<br />

⎛<br />

⎞<br />

⎜ sf () Source – sf () ⎟<br />

⎜∑<br />

Fit ⎟<br />

⎝<br />

f = 1<br />

⎠<br />

----------------------------------------------------------------- ⋅ 100<br />

N<br />

where f = the number of the frequency point<br />

N = the total number of frequency points<br />

s(f) Source = the value of the S-parameter at the frequency<br />

point f in the project source response<br />

s(f) Fit = the value of the S-parameter at the frequency point f<br />

in the fit curve data<br />

The calculation of the Broadband Spice model stops when this error threshold is<br />

reached or when it proves impossible to improve the error. We recommend using<br />

the default value of 0.5% initially and not setting the threshold below 0.1%.<br />

8 Select the Generate Predicted S-Parameter data file if it is not already<br />

selected.<br />

This option is selected by default. When this option is selected, the Predicted S-<br />

Parameter data upon which the model is based is also output to a file. The name<br />

of the file appears below the checkbox and may not be changed. The file is created<br />

in the same directory in which your model file is created. Once the creation of the<br />

model is completed, you may use the response viewer to compare your original<br />

response data to the Predicted S-Parameter data to evaluate the accuracy of the<br />

Broadband model.<br />

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