Archivio Istituzionale della RicercaThe linearity is a crucial requirement of power amplifiers. At design level, it is typically assessed by means of AM/AM, AM/PM and IMR, which are extracted from 1- and 2-tone characterization. These however are not fully representative of the actual behaviour under modulated signal excitation, for which purpose other system-level metrics such as the NPR have been successfully introduced. In this paper, different linearity estimations are used to compare two GaN-on-Si Doherty MMIC power amplifiers for Ka-band space applications. One of the two amplifiers shows an AM/PM reduction of more than 30% with respect to the other. However, it is observed that this does not always lead to a reduction in NPR. The reasons for this disagreement between metrics are analysed and discussed.
Linearity-aware design of Doherty power amplifiers / Piacibello, Anna; Figueiredo, Ricardo; Camarchia, Vittorio; Pirola, Marco; Carvalho, Nuno Borges. - ELETTRONICO. - (2019), pp. 1-3. (Intervento presentato al convegno 2019 IEEE MTT-S International Microwave Conference on Hardware and Systems for 5G and Beyond (IMC-5G) tenutosi a Atlanta, USA nel 15-16 Aug. 2019) [10.1109/IMC-5G47857.2019.9160390].
Linearity-aware design of Doherty power amplifiers
Piacibello, Anna;Camarchia, Vittorio;Pirola, Marco;
2019
Abstract
The linearity is a crucial requirement of power amplifiers. At design level, it is typically assessed by means of AM/AM, AM/PM and IMR, which are extracted from 1- and 2-tone characterization. These however are not fully representative of the actual behaviour under modulated signal excitation, for which purpose other system-level metrics such as the NPR have been successfully introduced. In this paper, different linearity estimations are used to compare two GaN-on-Si Doherty MMIC power amplifiers for Ka-band space applications. One of the two amplifiers shows an AM/PM reduction of more than 30% with respect to the other. However, it is observed that this does not always lead to a reduction in NPR. The reasons for this disagreement between metrics are analysed and discussed.
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https://hdl.handle.net/11583/2842644