Abstract: Design, simulation, and implementation of microstrip spiral inductors for RF applications at the high frequency (HF) range are given. The simplified lumped element equivalent model parameters for spiral inductor are used to obtain the initial physical dimensions for the design. The spiral inductor is then simulated with planar electromagnetic simulator, Sonnet, using the geometry cons...

As the demand for portable electronic devices increase, the need to replace offchip discrete devices with on-chip devices is imperative. Inductors are one such passive device that is widely used in low noise amplifiers, oscillators, etc. Current on-chip spiral inductors suffer from large parasitics and area for a meager value of inductance and quality factor. The need to overcome these issues h...

Spiral inductors constructed in Silicon IC technologies possess limited quality factors due to series resistive losses, and losses within the semiconducting substrate. A new model for the less understood substrate losses illustrates how these losses can be minimized, providing quality factor increases of up to 230 percent over un-optimized designs.

This work describes a method to derive from measurements an accurate lumped element model of spiral integrated inductors on silicon substrate. The analysis method is based on a wideband two–port measurement of the S-parameters of the device under test and enables an accurate evaluation of the parasitic effects that limit the performance of these integrated devices.

Modeling and performance of on-chip spiral inductors is presented. Y-parameters are obtained from the measured S-parameters of the inductor fabricated in 0.35-μm SOI CMOS technology. Matlab is used to get the π-equivalent circuit model parameters at each frequency point. The SOI CMOS inductor shows better performance characteristics in terms of Q-factor and self-resonance frequency.

A neural network approach is presented for modeling and characterization of on-chip copper spiral inductors. The approach involves the creation of neural network models to map 3D multi-level spiral inductor geometric characteristics to SPICE equivalent circuit parameters. The neural network replaces computationally expensive FEM-based extraction and field solution. The approach is especially at...

An analytical procedure for the calculation of the inductance of planar zig-zag spiral inductors is proposed. The procedure is based on the partial inductance concept and models the inductor as a series of a number of parts. The self-inductance of each individual part, which has the shape of a parallelogram, and the mutual inductance between any two parts of the inductor are determined. The ind...