A Parametric Model and Design of Integrated Passive Inductors

A wideband and scalable parametric model of spiral inductors based on integrated passive devices (IPD) is presented. A π equivalent circuit is used for constructing the parametric model by virtue of neural network. This new modeling approach exploits merits of space-mapping technology. An intelligent mapping scheme is formulated to map geometries of inductors to equivalent circuit compoments using neural networks making the model suitable for handling wide range of geometrical variations. Model developed in this way shows good accuracy compared to the EM data with a significant reduction of developmental cost. The inverted model is also discussed, which can get the geometrical parameters when the wanted value of the inductor is given.