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Design and Performance of Microwave Predistortion Networks using Digital Circuits

Matthias Horn, A. Egger

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Abstract

The paper deals with a new method for realizing predistortion networks which can compensate with high accuracy for nonlinear amplitude and phase distortions caused by TWT and GaAs FET microwave power amplifiers. The method is based on a digital generation of the nominal nonlinear predistortion characteristics. After discussing the nonlinear behaviour of microwave power amplifiers and the requirements on predistortion networks, the method and a realized predistortion network are described. Measurement results show its compensation capabilities.

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What this paper is about

The paper deals with a new method for realizing predistortion networks which can compensate with high accuracy for nonlinear amplitude and phase distortions caused by TWT and GaAs FET microwave power amplifiers. The method is based on a digital generation of the nominal nonlinear predistortion characteristics. After discussing the nonlinear behaviour of microwave power amplifiers and the requirements on predistortion networks, the method and a realized predistortion network are described. Measurement results show its compensation capabilities.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The paper deals with a new method for realizing predistortion networks which can compensate with high accuracy for nonlinear amplitude and phase distortions caused by TWT and GaAs FET microwave power amplifiers. The method is based on a digital generation of the nominal nonlinear predistortion characteristics. After discussing the nonlinear behaviour of microwave power amplifiers and the requirements on predistortion networks, the method and a realized predistortion network are described. Measurement results show its compensation capabilities.

Key concepts: Predistortion, Amplifier, Electronic engineering, Microwave, Computer science, Compensation (psychology), Nonlinear system, Power (physics)

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