Browsing by Author "Tan, TY"

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A broadband and scalable model for on-chip inductors incorporating substrate and conductor loss effects
(2006-03-01)
Guo, JC
;
Tan, TY
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
A new T-model has been developed to accurately simulate the broadband characteristics of on-Si-chip spiral inductors, up to 20 GHz. The spiral coil and substrate RLC networks built in the model play a key role responsible for conductor loss and substrate loss in the wideband regime, which cannot be accurately described by the conventional pi-model. Good match with the measured S-parameters, L (omega), Re (Z(in), (omega)), and Q (omega) proves the proposed T-model. Besides the broadband feature, scalability has been justified by good match with a linear function of coil numbers for all model parameters employed in the RLC networks. The satisfactory scalability manifest themselves physical parameters rather than curve fitting. A parameter extraction flow is established through equivalent circuit analysis to enable automatic parameter extraction and optimization. This scalable inductor model will facilitate optimization design of on-chip inductor and the accuracy proven up to 20 GHz can improve RF circuit simulation accuracy demanded by broadband design.
A broadband and scalable model for on-chip inductors incorporating substrate and conductor loss effects
(2005)
Guo, JC
;
Tan, TY
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
A new T-model is developed to accurately simulate the broadband characteristics of on-Si-chip spiral inductors, up to 20GHz. The spiral coil and substrate RLC networks built in the model play a key role responsible for conductor loss and substrate loss in the wideband regime, which cannot be accurately described by the conventional pi-model. Good match with the measured S-parameters, L(omega), Re(Z(in)(omega)), and Q(omega) proves the proposed T-model. Besides the broadband feature, scalability is justified by the good match with a linear function of coil numbers for all model parameters employed in the RLC networks. The satisfactory scalability manifest themselves physical parameters rather than curve fitting. A parameter extraction flow is established through equivalent circuit analysis to enable automatic parameter extraction and optimization. This scalable inductor model will facilitate optimization design of on-chip inductor and the accuracy proven up to 20GHz can improve RF circuit simulation accuracy demanded by broadband design.