Low-Complexity Feedback Data Compression for Closed-Loop Digital Predistortion
Fischer-Buhner, Arne; Anttila, Lauri; Unnikrishnan, Vishnu; Gomony, Manil Dev; Valkama, Mikko (2023)
Fischer-Buhner, Arne
Anttila, Lauri
Unnikrishnan, Vishnu
Gomony, Manil Dev
Valkama, Mikko
IEEE
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202309088062
https://urn.fi/URN:NBN:fi:tuni-202309088062
Kuvaus
Peer reviewed
Tiivistelmä
This paper proposes sample combining as a low-complex and effective feedback data compression technique that allows to significantly reduce the computational effort and buffering needs for parameter adaptation in a closed-loop digital predistortion (DPD) system. Compression is achieved by applying an integrate & dump operation to an undersampled feedback signal. The proposed method is experimentally validated for RF measurement based behavioral modeling as well as closed-loop DPD of a 3.5 GHz GaN Doherty PA, taking also quantization effects of the feedback path into account. Our results demonstrate that the proposed technique is as capable as state-of-the-art histogram-based sample selection, however, at a much lower complexity.
Kokoelmat
- TUNICRIS-julkaisut [19288]