Transistor modeling method based on narrow-pulse small signal measurement
A modeling method, transistor technology, applied in neural learning methods, biological neural network models, special data processing applications, etc., can solve the problem that the small signal equivalent circuit cannot accurately describe the device, the difficulty increases, and the accuracy of the modeling result cannot be guaranteed And other issues
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[0030] The present invention will be further described below in conjunction with embodiment.
[0031] Such as figure 1 A transistor modeling method based on narrow-pulse small-signal measurements is shown, including the following steps:
[0032] S101 measures the narrow pulse S-parameters of the transistor at multiple temperatures and multiple static biases;
[0033] S102 Measure the S-parameters of the open-circuit structure and the short-circuit structure corresponding to the transistor for de-embedding, and at the same time, extract the external equivalent parasitic parameters of the S-parameters of the open-circuit structure and the short-circuit structure;
[0034] S103 uses the S parameters of the open circuit structure and the short circuit structure to de-embed the narrow pulse S parameters. The specific method is: convert the measured narrow pulse S parameters into Y parameters, and convert the S parameters of the open circuit structure into Y parameters. Convert th...
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