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Simona Donati Guerrieri

Researcher at Polytechnic University of Turin

Publications -  72
Citations -  577

Simona Donati Guerrieri is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Amplifier & Cyclostationary process. The author has an hindex of 12, co-authored 62 publications receiving 475 citations.

Papers
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K-Band GaAs MMIC Doherty Power Amplifier for Microwave Radio With Optimized Driver

TL;DR: In this paper, a Doherty power amplifier for K-band point-to-point microwave radio, developed in TriQuint GaAs 0.15-μm PWR pHEMT monolithic technology, is presented.
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Self-Consistent Electrothermal Modeling of Class A, AB, and B Power GaN HEMTs Under Modulated RF Excitation

TL;DR: In this paper, the authors presented an accurate and flexible approach to the self-consistent electrothermal modeling of III-N-based HEMTs, combining a temperature-dependent electrical compact model with a novel behavioral nonlinear dynamic thermal model, suitable for circuit-level simulations.
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Noise source modeling for cyclostationary noise analysis in large-signal device operation

TL;DR: In this paper, a system theory approach is proposed for the modeling of colored noise sources in devices and circuits driven in large-signal (LS) conditions, and it is shown that only one modulation scheme (based on low-pass filtering followed by amplitude modulation) is consistent with the fundamental approach.
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Physics-based simulation techniques for small- and large-signal device noise analysis in RF applications

TL;DR: In this article, a review on physics-based noise simulation techniques for RF semiconductor devices, starting with the small-signal case but with greater stress on noise in large signal (quasi-periodic operation), is presented.
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A Unified Approach to the Sensitivity and Variability Physics-Based Modeling of Semiconductor Devices Operated in Dynamic Conditions—Part I: Large-Signal Sensitivity

TL;DR: In this paper, a general framework for the modeling of semiconductor device variability through the physics-based analysis of the small-change sensitivity is presented, which is based on the linearization of the physicsbased device model around a nominal parameter.