Reduced-complexity digital predistortion for massive MIMO
Tutkimustuotos › › vertaisarvioitu
Yksityiskohdat
| Alkuperäiskieli | Englanti |
|---|---|
| Otsikko | 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings |
| Kustantaja | IEEE |
| Sivut | 6478-6482 |
| Sivumäärä | 5 |
| ISBN (elektroninen) | 9781509041176 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 16 kesäkuuta 2017 |
| OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
| Tapahtuma | IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING - Kesto: 1 tammikuuta 1900 → 1 tammikuuta 2000 |
Julkaisusarja
| Nimi | |
|---|---|
| ISSN (elektroninen) | 2379-190X |
Conference
| Conference | IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING |
|---|---|
| Ajanjakso | 1/01/00 → 1/01/00 |
Tiivistelmä
A novel reduced-complexity digital predistortion (DPD) solution is presented in this paper. The proposed DPD can suppress the unwanted distortions due to power amplifier (PA) nonlinearity and I/Q modulator impairments in direct conversion transmitters using reduced-bandwidth filtered basis functions. Moreover, the DPD parameter estimation is based on very simple decorrelation based closed-loop processing and reduced-bandwidth observation, thus further reducing the overall complexity. The proposed DPD can be used in large array or massive MIMO systems with large number of radio transceivers and PAs, where reducing the complexity of the DPD processing is very critical.