Statistical computational methods for mixed-signal performance metrics under process variations and noise models
| Autor: | Tong Zhang, Mani Soma, Jacques C. Rudell |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
Monte Carlo method 020206 networking & telecommunications Mixed-signal integrated circuit 02 engineering and technology Integrated circuit Filter (signal processing) Chip 020202 computer hardware & architecture law.invention Noise Computer engineering law 0202 electrical engineering electronic engineering information engineering Systems architecture Electronic engineering Polyphase system |
| Zdroj: | NEWCAS |
| Popis: | This paper presents a method to compute the combined effects of process variations and various noise models in predicting performance metrics of analog and mixed-signal integrated circuits and subsystems. Without resorting to the traditional Monte Carlo simulation and specialized noise simulators, the method incorporates both behavioral simulation and statistical simulation to gain speed while ensuring reasonable accuracy in the performance predictions. A case study based on a published 60-GHz polyphase filter illustrates the method. The computed results are compared to the measured chip data to demonstrate the prediction accuracy. The method is intended to be used in the early design stages to select appropriate system architecture and blocks for lower-level circuit implementations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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