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TUTCRIS

Decorrelation-based Piecewise Digital Predistortion: Operating Principle and RF Measurements

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2019 16th International Symposium on Wireless Communication Systems (ISWCS)
KustantajaIEEE
Sivut340-344
Sivumäärä5
ISBN (elektroninen)978-1-7281-2527-5
ISBN (painettu)978-1-7281-2528-2
DOI - pysyväislinkit
TilaJulkaistu - 21 lokakuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaINTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS -
Kesto: 1 tammikuuta 1900 → …

Julkaisusarja

NimiInternational Symposium on Wireless Communication Systems (ISWCS)
ISSN (painettu)2154-0217
ISSN (elektroninen)2154-0225

Conference

ConferenceINTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS
Ajanjakso1/01/00 → …

Tiivistelmä

In this paper, we propose a new closed-loop learning architecture for digital predistortion (DPD) with piecewise (PW) memory polynomial models. The technique is targeted specifically for power amplifiers (PAs) that exhibit strong nonlinear behavior and nonlinear memory effects, such as those implemented with gallium nitride (GaN) technology. The learning algorithm is based on a computationally simple decorrelating learning rule, which is applied on each PW polynomial model separately. Measurements with LTE-A signals on a basestation GaN PA show that the proposed technique clearly outperforms the reference closedloop memory polynomial DPD, in terms of reducing the adjacent channel emissions.

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