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’ activity continues to be regarded as a ‘handcraft’, bulky and extremely time eating procedure. hence, super efforts are being deployed to strengthen new layout methodologies within the analog/RF and mixed-signal domain names.

This ebook collects sixteen state of the art contributions dedicated to the subject of systematic layout of analog, RF and combined sign circuits. Divided within the elements Methodologies and strategies fresh theories, synthesis suggestions and layout methodologies, in addition to new sizing techniques within the box of strong analog and combined sign layout automation are offered for researchers and R/D engineers.

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2) Efficiency: a linear increase of the number of design variables causes an exponential increase of the search space, which requires more 40 B. Liu and G. Gielen the S-parameters, since the number of parameters of a transmission line is often not large and their S-parameters are highly linear. g. power gain), the computationally expensive parts are: the parasitic extraction of active devices (transistors), the EM simulation of the long transmission lines and the EM simulation of transformers and inductors.

1 Introduction In recent years, design methodologies for high-frequency and mm-wave circuits have attracted a lot of attention. In particular, research and applications on RF building blocks for 40 GHz to 120 GHz and beyond are increasing drastically [1]. Existing RF IC synthesis methodologies, however, focus on low-GHz cases [2,3]. com M. Fakhfakh et al. ): Analog/RF & Mixed-Signal Circuit Sys. Design, LNEE 233, pp. 27–52. 1007/978-3-642-36329-0_2 © Springer-Verlag Berlin Heidelberg 2013 28 B.

5 dimensions) very efficiently. g. [20],[23]). When the number of dimensions increases, two challenges appear. (1) Solution quality: an initial surrogate model that can roughly approximate the performance of the circuit is often difficult to construct with a reasonably small number of initial samples. Because the initial information is very limited, promising areas in the solution space are hard to be selected correctly, even with good prescreening methods. (2) Efficiency: a linear increase of the number of design variables causes an exponential increase of the search space, which requires more 40 B.

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