RF Power Amplifier Behavioral Modeling using MATLAB
In this webinar, you will learn how to model RF power amplifiers (PA) using measured data. We will excite a PA with a wideband 5G-like signal and capture the PA output signal. We will use MATLAB to create optimal behavioral models of the captured RF power amplifier data. We will compare different modeling techniques used to characterize the selected PA. Each of the modeling techniques will be verified and validated.
Using PA measurements and model extraction techniques, we highlight:
- How you can use MATLAB on a NI PXI controller to collect PA data.
- Generation of test signals to drive a Power Amplifier connected to a NI PXIe-5841 VST.
- Use MATLAB to generate nonlinear PA models with and without memory
- Verify model performance by comparing simulated and measured outputs
About the Presenters
Dr. ETHEM MUTLU SÖZER is a principal software engineer at MathWorks Inc. in Natick, MA. He specializes in software development for signal processing and communications toolboxes. His current interests include software defined radio (SDR) and machine learning and deep learning algorithms for wireless communications. Previously he was a research engineer at Massachusetts Institute of Technology, where he developed underwater acoustic communication hardware and software platforms. He has bachelor’s and master’s degrees from Middle East Technical University, and a Ph.D. from Northeastern University.
Tim Reeves is an application engineer for RF and Antenna products at MathWorks, where he has promoted and contributed to these MathWorks product lines for more than 10 years. Prior to joining MathWorks, he worked on the development and modeling of passive RF components used for aerospace, commercial wireless, and wireline applications. Tim holds a B.S. in electrical and computer engineering from the University of Alberta and an M.S. in electrical and computer engineering from the University of Alberta. Tim is also a senior member of the IEEE.
Recorded: 26 Feb 2021
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