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Power Amplifier Linearization Using an Indirect-learning-based Inverse TDNN Model

In this article, an effective digital predistortion procedure of data acquisition, analysis, modeling and linearization for high power amplifiers is presented, based on tapped delay neural networks (TDNN). Memory effects of high power RF amplifiers wer...
Hoon Hwangbo, Sung-Chan Jung, Youngoo Yang, Cheon-Seok Park, Byung-Sung Kim and Wansoo Nah,
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Current research studies are drawing more and more attention on the memory effects of high power amplifier linearization, especially for cellular base transceiver system applications. 1,2 Although many studies on power amplifier linearization have been conducted, linearization of strongly nonlinear systems with large memory, which exacerbates the performance of...
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