An experimental study on Power Amplifier linearisation by artificial neural networks
| Autor: | Ali Ozgur Yilmaz, Ahmet Ertugrul Kolagasioglu, Soner Yesil |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Artificial neural network
Computer science Orthogonal frequency-division multiplexing Amplifier 010401 analytical chemistry 020206 networking & telecommunications 02 engineering and technology 01 natural sciences Signal Predistortion 0104 chemical sciences Power (physics) 0202 electrical engineering electronic engineering information engineering Electronic engineering |
| Zdroj: | SIU |
| DOI: | 10.1109/siu.2018.8404224 |
| Popis: | This paper represents an experimental study on the linearisation of Power Amplifiers especially on high output power regions by utilizing an artificial neural network structure and open-loop training method. For the same in-band output power, 9dB EVM and 6dB ACLR improvement has been observed on hardware by feeding the proposed digital predistortion signal (DPD) to the PA under test. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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