Spectral domain analysis of the spiral inductor on multilayer substrates

Abstract-The electromagnetic behavior of circular spiral inductors on layered substrates is analyzed by using the concentric ring approximation. The problem is formulated in terms of mixedpotential volume integral equations. The latter are semianalytically solved within the quasi-one-dimensional approximation. The result is a fast computationally efficient model, which takes into account substrate RF loss, as well as nonuniform current density distribution across inductor windings. The results are in good agreement with experimental data from various inductors on both low-and high-resistivity silicon substrates.

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A Wideband and Scalable Model of Spiral Inductors Using Space-Mapping Neural Network

Cao¹,

Wang²

2007

IEEE Trans. Microwave Theory Techn.

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A wideband and scalable model of RF CMOS spiral inductors by virtue of a novel space-mapping neural network (SMNN) is presented. A new modified 2-equivalent circuit is used for constructing the SMNN model. This new modeling approach also exploits merits of space-mapping technology. This SMNN model has much enhanced learning and generalization capabilities. In comparison with the conventional neural network and the original 2model, this new SMNN model can map the input-output relationships with fewer hidden neurons and have higher reliability for generalization. As a consequence, this SMNN model can run as fast as an approximate equivalent circuit, yet preserve the accuracy of detailed electromagnetic simulations. Experiments are included to demonstrate merits and efficiency of this new approach. Index Terms-Modeling, neural networks, space mapping, spiral inductor. 0018-9480/$25.00 © 2007 IEEE Gaofeng Wang (S'93-M'95-SM'01) received the Ph.D. degree in electrical engineering from the University of Wisconsin-Milwaukee, in 1993, and the Ph.D. degree in scientific computing from Stanford University, Stanford, CA, in 2001.From 1988 to 1990, he was with the has been the Chief Technology Officer (CTO) with Siargo Inc., San Jose, CA. He is also currently a Professor and the Head of the CJ Huang Information Technical Research Institute, Wuhan University. He has authored or coauthored over 120 publications. He holds six U.S. patents. His research and development interests include integrated circuit (IC) and microelectromechanical systems (MEMS) design and simulation, computational electromagnetics, electronic design automation, and wavelet applications in engineering.

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Spectral domain analysis of the spiral inductor on multilayer substrates

Cited by 4 publications

References 3 publications

Full-wave analysis of antenna on the MMIC using modified ADI-FDTD method

Full-wave analysis of antenna on the MMIC using modified ADI-FDTD method

Mixed-Potential Volume Integral-Equation Approach for Circular Spiral Inductors

A Wideband and Scalable Model of Spiral Inductors Using Space-Mapping Neural Network

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