Measurement-Based Artificial Neural Network Simulation Models for RF Power Amplifiers

Measurement-Based Artificial Neural Network Simulation Models for RF Power Amplifiers

应用文章

Engineers working on Power Amplifiers (PAs) collect a large amount of measured load pull data over the design cycle. This measured data accumulates on hard disks or cloud drives and development teams sometimes forget about it after finishing a design. However, new AI-based modeling techniques have the potential to turn this measured data into a gold mine because engineers can now extract advanced simulation models from measured data that is just “lying around.” These models can breathe new life into old data and create exciting possibilities for product design and development. 

 

This Application Note will describe how to build measurement-based simulation models for Power Amplifiers using Keysight’s Artificial Neural Network (ANN) engine. The Application Note will also cover validation and use of these models in Keysight’s Advanced Design System (ADS) environment.