Low-complexity, Multi Sub-band Digital Predistortion: Novel Algorithms and SDR Verification

dc.citation.journalTitleJournal of Signal Processing Systems
dc.contributor.authorTarver, Chance
dc.contributor.authorAbdelaziz, Mahmoud
dc.contributor.authorAnttila, Lauri
dc.contributor.authorCavallaro, Joseph R.
dc.date.accessioned2017-11-29T16:35:27Z
dc.date.available2017-11-29T16:35:27Z
dc.date.issued2017
dc.description.abstractThe nonlinearities of power amplifiers combined with non-contiguous transmissions found in modern, frequency-agile, wireless standards create undesirable spurious emissions through the nearby spectrum of data carriers. Digital predistortion (DPD) is an effective way of combating spurious emission violations without the need for a significant power reduction in the transmitter leading to better power efficiency and network coverage. In this paper, an iterative, multi sub-band version of the sub-band DPD, proposed earlier by the authors, is presented. The DPD learning is iterated over intermodulation distortion (IMD) sub-bands until a satisfactory performance is achieved for each of them. A sequential DPD learning procedure is also presented to reduce the hardware complexity when higher order nonlinearities are incorporated in the DPD learning. Improvements in the convergence speed of the adaptive DPD learning are also achieved via incorporating a variable learning rate and interpolation of previously trained DPD coefficients. A WarpLab implementation of the proposed DPD is also shown with excellent suppression of the targeted spurious emissions.
dc.identifier.citationTarver, Chance, Abdelaziz, Mahmoud, Anttila, Lauri, et al.. "Low-complexity, Multi Sub-band Digital Predistortion: Novel Algorithms and SDR Verification." <i>Journal of Signal Processing Systems,</i> (2017) Springer: https://doi.org/10.1007/s11265-017-1303-1.
dc.identifier.digital2017_JPSP_main
dc.identifier.doihttps://doi.org/10.1007/s11265-017-1303-1
dc.identifier.urihttps://hdl.handle.net/1911/98868
dc.language.isoeng
dc.publisherSpringer
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Springer.
dc.subject.keywordadaptive filters
dc.subject.keywordcarrier aggregation
dc.subject.keyworddigital predistortion
dc.subject.keywordnonlinear distortion
dc.subject.keywordpower amplifier
dc.subject.keywordsoftware-defined radio
dc.subject.keywordspectrally-agile radio
dc.subject.keywordspurious emission
dc.titleLow-complexity, Multi Sub-band Digital Predistortion: Novel Algorithms and SDR Verification
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpost-print
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2017_JPSP_main.pdf
Size:
3.2 MB
Format:
Adobe Portable Document Format