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Joint phase noise estimation and data detection in coded multi-input-multi-output systems

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Název: Joint phase noise estimation and data detection in coded multi-input-multi-output systems
Autoři: Isikman, Arif Onder, 1988, Mehrpouyan, Hani, 1981, Nasir, Ali Arshad, Graell i Amat, Alexandre, 1976, Kennedy, Rodney A.
Zdroj: IET Communications. 8(7):981-989
Témata: MIMO receiver, MIMO communication, oscillators, MAP estimator, soft decision-directed extended Kalman filter-smoother, maximum a posteriori, iterative methods, EM algorithm, radio receivers, expectation-maximisation algorithm, interleaved codes, Kalman filters, PHN estimation, expectation-maximisation, data detection, phase noise, iterative receiver, bit-interleaved-coded modulation, coded multi-input-multi-output system, EKFS-based approach, low-density parity check code, maximum likelihood estimation, signal-to-noise ratio, parity check codes, joint oscillator phase noise estimation
Popis: The problem of joint oscillator phase noise (PHN) estimation and data detection for multi-input multi-output (MIMO) systems using bit-interleaved-coded modulation is analysed. A new MIMO receiver that iterates between the estimator and the detector, based on the expectation-maximisation (EM) framework, is proposed. It is shown that at high signal-to-noise ratios, a maximum a posteriori (MAP) estimator can be used to carry out the maximisation step of the EM algorithm. Moreover, to reduce the computational complexity of the proposed EM algorithm, a soft decision-directed extended Kalman filter-smoother (EKFS) is applied instead of the MAP estimator to track the PHN parameters. The numerical results show that by combining the proposed EKFS-based approach with an iterative detector that employs low-density parity check codes, PHN can be accurately tracked. The simulations also demonstrate that compared to the existing algorithms, the proposed iterative receiver can significantly enhance the performance of MIMO systems in the presence of PHN.
Přístupová URL adresa: https://research.chalmers.se/publication/200143
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Joint phase noise estimation and data detection in coded multi-input-multi-output systems
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Isikman%2C+Arif+Onder%22">Isikman, Arif Onder</searchLink>, 1988<br /><searchLink fieldCode="AR" term="%22Mehrpouyan%2C+Hani%22">Mehrpouyan, Hani</searchLink>, 1981<br /><searchLink fieldCode="AR" term="%22Nasir%2C+Ali+Arshad%22">Nasir, Ali Arshad</searchLink><br /><searchLink fieldCode="AR" term="%22Graell+i+Amat%2C+Alexandre%22">Graell i Amat, Alexandre</searchLink>, 1976<br /><searchLink fieldCode="AR" term="%22Kennedy%2C+Rodney+A%2E%22">Kennedy, Rodney A.</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <i>IET Communications</i>. 8(7):981-989
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22MIMO+receiver%22">MIMO receiver</searchLink><br /><searchLink fieldCode="DE" term="%22MIMO+communication%22">MIMO communication</searchLink><br /><searchLink fieldCode="DE" term="%22oscillators%22">oscillators</searchLink><br /><searchLink fieldCode="DE" term="%22MAP+estimator%22">MAP estimator</searchLink><br /><searchLink fieldCode="DE" term="%22soft+decision-directed+extended+Kalman+filter-smoother%22">soft decision-directed extended Kalman filter-smoother</searchLink><br /><searchLink fieldCode="DE" term="%22maximum+a+posteriori%22">maximum a posteriori</searchLink><br /><searchLink fieldCode="DE" term="%22iterative+methods%22">iterative methods</searchLink><br /><searchLink fieldCode="DE" term="%22EM+algorithm%22">EM algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22radio+receivers%22">radio receivers</searchLink><br /><searchLink fieldCode="DE" term="%22expectation-maximisation+algorithm%22">expectation-maximisation algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22interleaved+codes%22">interleaved codes</searchLink><br /><searchLink fieldCode="DE" term="%22Kalman+filters%22">Kalman filters</searchLink><br /><searchLink fieldCode="DE" term="%22PHN+estimation%22">PHN estimation</searchLink><br /><searchLink fieldCode="DE" term="%22expectation-maximisation%22">expectation-maximisation</searchLink><br /><searchLink fieldCode="DE" term="%22data+detection%22">data detection</searchLink><br /><searchLink fieldCode="DE" term="%22phase+noise%22">phase noise</searchLink><br /><searchLink fieldCode="DE" term="%22iterative+receiver%22">iterative receiver</searchLink><br /><searchLink fieldCode="DE" term="%22bit-interleaved-coded+modulation%22">bit-interleaved-coded modulation</searchLink><br /><searchLink fieldCode="DE" term="%22coded+multi-input-multi-output+system%22">coded multi-input-multi-output system</searchLink><br /><searchLink fieldCode="DE" term="%22EKFS-based+approach%22">EKFS-based approach</searchLink><br /><searchLink fieldCode="DE" term="%22low-density+parity+check+code%22">low-density parity check code</searchLink><br /><searchLink fieldCode="DE" term="%22maximum+likelihood+estimation%22">maximum likelihood estimation</searchLink><br /><searchLink fieldCode="DE" term="%22signal-to-noise+ratio%22">signal-to-noise ratio</searchLink><br /><searchLink fieldCode="DE" term="%22parity+check+codes%22">parity check codes</searchLink><br /><searchLink fieldCode="DE" term="%22joint+oscillator+phase+noise+estimation%22">joint oscillator phase noise estimation</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: The problem of joint oscillator phase noise (PHN) estimation and data detection for multi-input multi-output (MIMO) systems using bit-interleaved-coded modulation is analysed. A new MIMO receiver that iterates between the estimator and the detector, based on the expectation-maximisation (EM) framework, is proposed. It is shown that at high signal-to-noise ratios, a maximum a posteriori (MAP) estimator can be used to carry out the maximisation step of the EM algorithm. Moreover, to reduce the computational complexity of the proposed EM algorithm, a soft decision-directed extended Kalman filter-smoother (EKFS) is applied instead of the MAP estimator to track the PHN parameters. The numerical results show that by combining the proposed EKFS-based approach with an iterative detector that employs low-density parity check codes, PHN can be accurately tracked. The simulations also demonstrate that compared to the existing algorithms, the proposed iterative receiver can significantly enhance the performance of MIMO systems in the presence of PHN.
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  Group: URL
  Data: <link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/200143" linkWindow="_blank">https://research.chalmers.se/publication/200143</link>
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1049/iet-com.2013.0730
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 981
    Subjects:
      – SubjectFull: MIMO receiver
        Type: general
      – SubjectFull: MIMO communication
        Type: general
      – SubjectFull: oscillators
        Type: general
      – SubjectFull: MAP estimator
        Type: general
      – SubjectFull: soft decision-directed extended Kalman filter-smoother
        Type: general
      – SubjectFull: maximum a posteriori
        Type: general
      – SubjectFull: iterative methods
        Type: general
      – SubjectFull: EM algorithm
        Type: general
      – SubjectFull: radio receivers
        Type: general
      – SubjectFull: expectation-maximisation algorithm
        Type: general
      – SubjectFull: interleaved codes
        Type: general
      – SubjectFull: Kalman filters
        Type: general
      – SubjectFull: PHN estimation
        Type: general
      – SubjectFull: expectation-maximisation
        Type: general
      – SubjectFull: data detection
        Type: general
      – SubjectFull: phase noise
        Type: general
      – SubjectFull: iterative receiver
        Type: general
      – SubjectFull: bit-interleaved-coded modulation
        Type: general
      – SubjectFull: coded multi-input-multi-output system
        Type: general
      – SubjectFull: EKFS-based approach
        Type: general
      – SubjectFull: low-density parity check code
        Type: general
      – SubjectFull: maximum likelihood estimation
        Type: general
      – SubjectFull: signal-to-noise ratio
        Type: general
      – SubjectFull: parity check codes
        Type: general
      – SubjectFull: joint oscillator phase noise estimation
        Type: general
    Titles:
      – TitleFull: Joint phase noise estimation and data detection in coded multi-input-multi-output systems
        Type: main
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          Name:
            NameFull: Isikman, Arif Onder
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            NameFull: Mehrpouyan, Hani
      – PersonEntity:
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            NameFull: Nasir, Ali Arshad
      – PersonEntity:
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            NameFull: Graell i Amat, Alexandre
      – PersonEntity:
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            NameFull: Kennedy, Rodney A.
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2014
          Identifiers:
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              Value: 17518628
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              Value: 8
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: IET Communications
              Type: main
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