Technical Article

Accurate Models and Discrete Part-Value Optimization Combine to Improve Workflows

This article explains how a discrete part-value optimization method can be leveraged to develop a lumped-element bandpass filter designed using the Cadence® AWR Design Environment®. The design includes Modelithics measurement-based passive-component models, which enable simulations to accurately predict the filter’s real performance. After completing an initial filter design, a discrete part-value optimization achieves the desired frequency response. The article wraps up by comparing measured data to the simulated results.

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