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Detection Schemes for High Order M-Ary QAM Under Transmit Nonlinearities
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Middle East Technical University (METU), Ankara, Turkey.
2019 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 67, no 7, p. 4825-4834Article in journal (Refereed) Published
Abstract [en]

Nonlinearities in various stages of a transmitter may hinder and restrict the transmission rate. As observed in many studies, outermost constellation points are usually more adversely affected by these impairments. To observe these effects, we utilize two power amplifier models that have different effects on transmitted signals. The Rapp model considers only amplitude deformation and the resultant in-phase and quadrature errors can be assumed to be independent on the receiver side. Unlike the Rapp model, the Saleh model exerts both amplitude and phase deformations and the phase deformation introduces correlation between the in-phase and quadrature errors according to our observations. In addition to the correlation, the variances of in-phase and quadrature errors may not be equal to each other. In this paper, we propose receivers that consider error variances of each quadrature amplitude modulation (QAM) symbol. We compare the performances of the receivers with those of other receivers that take average error variances into account for decoding. Furthermore, we propose a practical receiver that directly works on digitized observations based on a look-up table that keeps log-likelihood ratios of the quantized regions in order to reduce computational complexity.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019. Vol. 67, no 7, p. 4825-4834
Keywords [en]
Bit interleaved coded modulation (BICM); inter-symbol interference (ISI); error vector magnitude (EVM); mis-matched decoding; nonlinear channels; nonlinearity of power amplifiers
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-159591DOI: 10.1109/TCOMM.2019.2905569ISI: 000476750300023Scopus ID: 2-s2.0-85069769984OAI: oai:DiVA.org:liu-159591DiVA, id: diva2:1342290
Available from: 2019-08-13 Created: 2019-08-13 Last updated: 2019-08-19Bibliographically approved

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Gülgün, Ziya
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf