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Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems

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Název: Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems
Autoři: Mehrpouyan, Hani, 1981, Nasir, Ali Arshad, Blostein, Steven D., Eriksson, Thomas, 1964, Karagiannidis, George K., Svensson, Tommy, 1970
Zdroj: IEEE Transactions on Signal Processing. 60(9):4790-4807
Témata: Multi-input multi-output (MIMO), Wiener phase noise, Cram´er-Rao Lower Bound (CRLB), channel estimation
Popis: Oscillator phase noise limits the performance of high speed communication systems since it results in timevarying channels and rotation of the signal constellation from symbol to symbol. In this paper, joint estimation ofchannel gains and Wiener phase noise in multi-input multi-output (MIMO) systems is analyzed. The signal modelfor the estimation problem is outlined in detail and new expressions for the Cram´er-Rao lower bounds (CRLBs) forthe multi-parameter estimation problem are derived. A data-aided least-squares (LS) estimator for jointly obtainingthe channel gains and phase noise parameters is derived. Next, a decision-directed weighted least-squares (WLS)estimator is proposed, where pilots and estimated data symbols are employed to track the time-varying phase noiseparameters over a frame. In order to reduce the overhead and delay associated with the estimation process, anew decision-directed extended Kalman filter (EKF) is proposed for tracking the MIMO phase noise throughouta frame. Numerical results show that the proposed LS, WLS, and EKF estimators’ performances are close to theCRLB. Finally, simulation results demonstrate that by employing the proposed channel and time-varying phase noiseestimators the bit-error rate (BER) performance of a MIMO system can be significantly improved.
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Přístupová URL adresa: https://research.chalmers.se/publication/157016
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  Data: Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems
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  Data: <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="%22Blostein%2C+Steven+D%2E%22">Blostein, Steven D.</searchLink><br /><searchLink fieldCode="AR" term="%22Eriksson%2C+Thomas%22">Eriksson, Thomas</searchLink>, 1964<br /><searchLink fieldCode="AR" term="%22Karagiannidis%2C+George+K%2E%22">Karagiannidis, George K.</searchLink><br /><searchLink fieldCode="AR" term="%22Svensson%2C+Tommy%22">Svensson, Tommy</searchLink>, 1970
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  Data: <i>IEEE Transactions on Signal Processing</i>. 60(9):4790-4807
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  Data: <searchLink fieldCode="DE" term="%22Multi-input+multi-output+%28MIMO%29%22">Multi-input multi-output (MIMO)</searchLink><br /><searchLink fieldCode="DE" term="%22Wiener+phase+noise%22">Wiener phase noise</searchLink><br /><searchLink fieldCode="DE" term="%22Cram´er-Rao+Lower+Bound+%28CRLB%29%22">Cram´er-Rao Lower Bound (CRLB)</searchLink><br /><searchLink fieldCode="DE" term="%22channel+estimation%22">channel estimation</searchLink>
– Name: Abstract
  Label: Description
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  Data: Oscillator phase noise limits the performance of high speed communication systems since it results in timevarying channels and rotation of the signal constellation from symbol to symbol. In this paper, joint estimation ofchannel gains and Wiener phase noise in multi-input multi-output (MIMO) systems is analyzed. The signal modelfor the estimation problem is outlined in detail and new expressions for the Cram´er-Rao lower bounds (CRLBs) forthe multi-parameter estimation problem are derived. A data-aided least-squares (LS) estimator for jointly obtainingthe channel gains and phase noise parameters is derived. Next, a decision-directed weighted least-squares (WLS)estimator is proposed, where pilots and estimated data symbols are employed to track the time-varying phase noiseparameters over a frame. In order to reduce the overhead and delay associated with the estimation process, anew decision-directed extended Kalman filter (EKF) is proposed for tracking the MIMO phase noise throughouta frame. Numerical results show that the proposed LS, WLS, and EKF estimators’ performances are close to theCRLB. Finally, simulation results demonstrate that by employing the proposed channel and time-varying phase noiseestimators the bit-error rate (BER) performance of a MIMO system can be significantly improved.
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        Value: 10.1109/TSP.2012.2202652
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      – Text: English
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        PageCount: 18
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      – SubjectFull: Multi-input multi-output (MIMO)
        Type: general
      – SubjectFull: Wiener phase noise
        Type: general
      – SubjectFull: Cram´er-Rao Lower Bound (CRLB)
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      – SubjectFull: channel estimation
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            NameFull: Svensson, Tommy
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              Y: 2012
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