TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Low-complexity Sub-band DPD with Sequential Learning: Novel Algorithms and WARPLab Implementation

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoIEEE International Workshop on Signal Processing Systems (SiPS), 2016
KustantajaIEEE
Sivut303-308
Sivumäärä6
ISBN (elektroninen)978-1-5090-3361-4
DOI - pysyväislinkit
TilaJulkaistu - 1 joulukuuta 2016
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE WORKSHOP ON SIGNAL PROCESSING SYSTEMS -
Kesto: 1 tammikuuta 1900 → …

Julkaisusarja

Nimi
ISSN (elektroninen)2374-7390

Conference

ConferenceIEEE WORKSHOP ON SIGNAL PROCESSING SYSTEMS
Ajanjakso1/01/00 → …

Tiivistelmä

Digital predistortion (DPD) is an effective way of mitigating spurious emission violations without the need of a significant backoff in the transmitter, thus providing better power efficiency and network coverage. In this paper an iterative version of the IM3 sub-band DPD, proposed earlier by the authors, is presented. The DPD learning is iterated between the higher and lower IM3 sub-bands until a satisfactory performance is achieved for both of them. A sequential DPD learning procedure is also presented in order to reduce the hardware complexity when higher order nonlinearities are incorporated in the DPD learning. Improvements on the convergence speed of the adaptive DPD learning are also achieved via incorporating a variable learning rate and training from previous values. A WARPLab implementation of the proposed DPD is also shown with excellent suppression of the targeted spurious emissions.

!!ASJC Scopus subject areas

Tutkimusalat

Julkaisufoorumi-taso