Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems
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| Title: | Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems |
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| Authors: | Mehrpouyan, Hani, 1981, Nasir, Ali Arshad, Blostein, Steven D., Eriksson, Thomas, 1964, Karagiannidis, George K., Svensson, Tommy, 1970 |
| Source: | IEEE Transactions on Signal Processing. 60(9):4790-4807 |
| Subject Terms: | Multi-input multi-output (MIMO), Wiener phase noise, Cram´er-Rao Lower Bound (CRLB), channel estimation |
| Description: | 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. |
| File Description: | electronic |
| Access URL: | https://research.chalmers.se/publication/157016 http://publications.lib.chalmers.se/records/fulltext/local_157016.pdf |
| Database: | SwePub |
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Nájsť tento článok vo Web of Science | Abstract: | 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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| ISSN: | 19410476 1053587X |
| DOI: | 10.1109/TSP.2012.2202652 |