Analog/RF and Mixed-Signal Circuit Systematic Design by Michael Eick, Helmut Graeb (auth.), Mourad Fakhfakh, Esteban

By Michael Eick, Helmut Graeb (auth.), Mourad Fakhfakh, Esteban Tlelo-Cuautle, Rafael Castro-Lopez (eds.)

Despite the truth that within the electronic area, designers can take complete merits of IPs and layout automation instruments to synthesize and layout very complicated structures, the analog designers’ job continues to be regarded as a ‘handcraft’, bulky and extremely time eating approach. therefore, great efforts are being deployed to advance new layout methodologies within the analog/RF and mixed-signal domain names.

This ebook collects sixteen cutting-edge contributions dedicated to the subject of systematic layout of analog, RF and combined sign circuits. Divided within the elements Methodologies and methods fresh theories, synthesis options and layout methodologies, in addition to new sizing methods within the box of strong analog and combined sign layout automation are provided for researchers and R/D engineers.

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1 Example and Settings The EMLDE method is now demonstrated for the synthesis of a 100GHz threestage transformer-coupled fully differential amplifier [25] in a 90nm CMOS technology. 5. Using the same configuration but different sizing for each stage, the different stages are cascaded together. The optimization goal is the power gain (S21 at 100GHz); the constraints are bandwidth ≥ 20GHz and the Rollet stability factors (K factors) [29] >1. Note that at 100GHz, design for high gain is difficult due to the limitation of the fT of the 90nm technology.

Usually, the design parameters of a stage of the RF amplifier include the parameters of the transformers or inductors, the parameters of the transistors and the parameters of the connecting transmission lines. The overall circuit performance is decided by all of them. But with the help of the active components library and the look-up table for transmission lines discussed above, only the parameters of the transformers or inductors need expensive EM simulation. In addition, the number of parameters of a transformer or inductor is not large (often 4-5).

To address this problem, a natural idea is to use the on-line surrogate model construction and prescreening from MMLDE. However, the challenge with circuits instead of only passive components is the higher dimensionality. Therefore, a hierarchical machine learningbased evolutionary optimization mechanism is designed, which is the main framework of EMLDE. g. the metal layer to be used, the transistor layout template with different number of fingers); • provide highly optimized results comparable to directly using an EA with EM simulations in the optimization loop, which is the best known method with respect to the solution quality aspect; • use much less computational effort compared to using the standard EA, and as such make the computational time of the synthesis practical; • be general enough for any technology and any frequency in the mm-wave frequency range.

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