Temperature-dependent Characterization of Power Amplifiers Using an Efficient Electrothermal Analysis Technique
Journal article, 2022

In this paper, we propose an efficient methodology for the electrothermal characterization of power amplifier (PA) integrated circuits. The proposed electrothermal analysis method predicts the effect of temperature variations on the key performances of PAs, such as gain and linearity, under realistic dynamic operating conditions. A comprehensive technique for identifying an equivalent compact thermal model, using data from 3-D finite element method thermal simulation and nonlinear curve fitting algorithms, is described. Two efficient methods for electrothermal analysis applying the developed compact thermal model are reported. The validity of the methods is evaluated using commercially available electrothermal computer-aided design (CAD) tools and through extensive pulsed RF signal measurements of a PA device under test. The measurement results confirm the validity of the proposed electrothermal analysis methods. The proposed methods show significantly faster simulation speed comparing to available CAD tools for electrothermal analysis. Moreover, the results reveal the importance of electrothermal characterization in the prediction of the temperature-aware PA dynamic operation.

power amplifier linearity

Electrothermal characterization

thermal impedance identification

EVM.

thermal network extraction

thermal modeling

heat dissipation

Author

Parastoo Taghikhani

Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics

Koen Buisman

Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics

martin Versleijen

NXP Semiconductors Netherlands

Jose-Ramon Perez-Cisneros

Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics

Christian Fager

Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics

IEEE Transactions on Microwave Theory and Techniques

0018-9480 (ISSN) 15579670 (eISSN)

Vol. 70 2 1349-1360

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Areas of Advance

Information and Communication Technology

Subject Categories

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering

Condensed Matter Physics

DOI

10.1109/TMTT.2021.3134664

More information

Latest update

4/5/2022 5