Zobrazit v EDS

Algorithms for Joint Phase Estimation and Decoding for MIMO Systems in the Presence of Phase Noise and Quasi-Static Fading Channels

Uloženo v:
Podrobná bibliografie
Název: Algorithms for Joint Phase Estimation and Decoding for MIMO Systems in the Presence of Phase Noise and Quasi-Static Fading Channels
Autoři: Krishnan, Rajet, 1982, Colavolpe, Giulio, Graell i Amat, Alexandre, 1976, Eriksson, Thomas, 1964
Zdroj: Komprimerad avkänning med hjälp av kodningsteori IEEE Transactions on Signal Processing. 63(13):3360-3375
Témata: phase noise, Extended Kalman smoother (EKS), maximum a posteriori (MAP) detection, MIMO, sum-product algorithm (SPA), variational Bayesian (VB) framework
Popis: In this work, we derive the maximum a posteriori (MAP) symbol detector for a multiple-input multiple-output system in the presence of Wiener phase noise due to noisy local oscillators. As in single-antenna systems, the computation of the optimum receiver is an analytically intractable problem and is unimplementable in practice. In this purview, we propose three suboptimal, low-complexity algorithms for approximately implementing the MAP symbol detector, which involve joint phase noise estimation and data detection. Our first algorithm is obtained by means of the sum-product algorithm, where we use the multivariate Tikhonov canonical distribution approach. In our next algorithm, we derive an approximate MAP symbol detector based on the smoother-detector framework, wherein the detector is properly designed by incorporating the phase noise statistics from the smoother. The third algorithm is derived based on the variational Bayesian framework. By simulations, we evaluate the performance of the proposed algorithms for both uncoded and coded data transmissions, and we observe that the proposed techniques significantly outperform the other important algorithms from prior works, which are considered in this work. Index Terms – Maximum a posteriori (MAP) detection, phase noise, sum-product algorithm (SPA), variational Bayesian (VB) framework, extended Kalman smoother (EKS), MIMO.
Popis souboru: electronic
Přístupová URL adresa: https://research.chalmers.se/publication/217287
http://publications.lib.chalmers.se/records/fulltext/217287/local_217287.pdf
Databáze: SwePub
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://research.chalmers.se/publication/217287#
    Name: EDS - SwePub (s4221598)
    Category: fullText
    Text: View record in SwePub
  – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edsswe&genre=article&issn=19410476&ISBN=&volume=63&issue=13&date=20150101&spage=3360&pages=3360-3375&title=Komprimerad avkänning med hjälp av kodningsteori IEEE Transactions on Signal Processing&atitle=Algorithms%20for%20Joint%20Phase%20Estimation%20and%20Decoding%20for%20MIMO%20Systems%20in%20the%20Presence%20of%20Phase%20Noise%20and%20Quasi-Static%20Fading%20Channels&aulast=Krishnan%2C%20Rajet&id=DOI:10.1109/TSP.2015.2420533
    Name: Full Text Finder
    Category: fullText
    Text: Full Text Finder
    Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif
    MouseOverText: Full Text Finder
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Krishnan%20R
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edsswe
DbLabel: SwePub
An: edsswe.oai.research.chalmers.se.d7a0af08.0ca5.43a0.8ed6.e5622bcf970a
RelevancyScore: 928
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 928.456298828125
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Algorithms for Joint Phase Estimation and Decoding for MIMO Systems in the Presence of Phase Noise and Quasi-Static Fading Channels
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Krishnan%2C+Rajet%22">Krishnan, Rajet</searchLink>, 1982<br /><searchLink fieldCode="AR" term="%22Colavolpe%2C+Giulio%22">Colavolpe, Giulio</searchLink><br /><searchLink fieldCode="AR" term="%22Graell+i+Amat%2C+Alexandre%22">Graell i Amat, Alexandre</searchLink>, 1976<br /><searchLink fieldCode="AR" term="%22Eriksson%2C+Thomas%22">Eriksson, Thomas</searchLink>, 1964
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <i>Komprimerad avkänning med hjälp av kodningsteori IEEE Transactions on Signal Processing</i>. 63(13):3360-3375
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22phase+noise%22">phase noise</searchLink><br /><searchLink fieldCode="DE" term="%22Extended+Kalman+smoother+%28EKS%29%22">Extended Kalman smoother (EKS)</searchLink><br /><searchLink fieldCode="DE" term="%22maximum+a+posteriori+%28MAP%29+detection%22">maximum a posteriori (MAP) detection</searchLink><br /><searchLink fieldCode="DE" term="%22MIMO%22">MIMO</searchLink><br /><searchLink fieldCode="DE" term="%22sum-product+algorithm+%28SPA%29%22">sum-product algorithm (SPA)</searchLink><br /><searchLink fieldCode="DE" term="%22variational+Bayesian+%28VB%29+framework%22">variational Bayesian (VB) framework</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: In this work, we derive the maximum a posteriori (MAP) symbol detector for a multiple-input multiple-output system in the presence of Wiener phase noise due to noisy local oscillators. As in single-antenna systems, the computation of the optimum receiver is an analytically intractable problem and is unimplementable in practice. In this purview, we propose three suboptimal, low-complexity algorithms for approximately implementing the MAP symbol detector, which involve joint phase noise estimation and data detection. Our first algorithm is obtained by means of the sum-product algorithm, where we use the multivariate Tikhonov canonical distribution approach. In our next algorithm, we derive an approximate MAP symbol detector based on the smoother-detector framework, wherein the detector is properly designed by incorporating the phase noise statistics from the smoother. The third algorithm is derived based on the variational Bayesian framework. By simulations, we evaluate the performance of the proposed algorithms for both uncoded and coded data transmissions, and we observe that the proposed techniques significantly outperform the other important algorithms from prior works, which are considered in this work. Index Terms – Maximum a posteriori (MAP) detection, phase noise, sum-product algorithm (SPA), variational Bayesian (VB) framework, extended Kalman smoother (EKS), MIMO.
– Name: Format
  Label: File Description
  Group: SrcInfo
  Data: electronic
– Name: URL
  Label: Access URL
  Group: URL
  Data: <link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/217287" linkWindow="_blank">https://research.chalmers.se/publication/217287</link><br /><link linkTarget="URL" linkTerm="http://publications.lib.chalmers.se/records/fulltext/217287/local_217287.pdf" linkWindow="_blank">http://publications.lib.chalmers.se/records/fulltext/217287/local_217287.pdf</link>
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsswe&AN=edsswe.oai.research.chalmers.se.d7a0af08.0ca5.43a0.8ed6.e5622bcf970a
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/TSP.2015.2420533
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 3360
    Subjects:
      – SubjectFull: phase noise
        Type: general
      – SubjectFull: Extended Kalman smoother (EKS)
        Type: general
      – SubjectFull: maximum a posteriori (MAP) detection
        Type: general
      – SubjectFull: MIMO
        Type: general
      – SubjectFull: sum-product algorithm (SPA)
        Type: general
      – SubjectFull: variational Bayesian (VB) framework
        Type: general
    Titles:
      – TitleFull: Algorithms for Joint Phase Estimation and Decoding for MIMO Systems in the Presence of Phase Noise and Quasi-Static Fading Channels
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Krishnan, Rajet
      – PersonEntity:
          Name:
            NameFull: Colavolpe, Giulio
      – PersonEntity:
          Name:
            NameFull: Graell i Amat, Alexandre
      – PersonEntity:
          Name:
            NameFull: Eriksson, Thomas
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2015
          Identifiers:
            – Type: issn-print
              Value: 19410476
            – Type: issn-print
              Value: 1053587X
            – Type: issn-locals
              Value: SWEPUB_FREE
            – Type: issn-locals
              Value: CTH_SWEPUB
          Numbering:
            – Type: volume
              Value: 63
            – Type: issue
              Value: 13
          Titles:
            – TitleFull: Komprimerad avkänning med hjälp av kodningsteori IEEE Transactions on Signal Processing
              Type: main
ResultId 1