Time-varying phase noise and channel estimation in MIMO systems

Hani Mehrpouyan; Ali A. Nasir; Thomas Eriksson; Steven D. Blostein; George K. Karagiannidis; Tommy Svensson

doi:10.1109/SPAWC.2012.6292972

Time-varying phase noise and channel estimation in MIMO systems

Hani Mehrpouyan^*, Ali A. Nasir, Thomas Eriksson, Steven D. Blostein, George K. Karagiannidis, Tommy Svensson

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Performance of high speed communication systems is negatively affected by oscillator phase noise (PN). In this paper joint estimation of channel gains and Wiener PN in multi-input multi-output (MIMO) systems is analyzed. The signal model for the estimation problem is outlined in detail. In order to reduce overhead, a low complexity data-aided least-squares (LS) estimator for jointly obtaining the channel gains and PN parameters is derived. In order to track PN processes over a frame, a new decision-directed extended Kalman filter (EKF) is proposed. Numerical results show that the proposed LS and EKF based PN estimator performances are close to the CRLB and simulation results indicate that by employing the proposed estimators the bit-error rate (BER) performance of a MIMO system can be significantly improved in the presence of PN.

Original language	English
Title of host publication	2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
Pages	560-564
Number of pages	5
DOIs	https://doi.org/10.1109/SPAWC.2012.6292972
State	Published - 2012
Externally published	Yes

Publication series

Name	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Science Applications
Information Systems

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10.1109/SPAWC.2012.6292972

Cite this

Mehrpouyan, H., Nasir, A. A., Eriksson, T., Blostein, S. D., Karagiannidis, G. K., & Svensson, T. (2012). Time-varying phase noise and channel estimation in MIMO systems. In 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012 (pp. 560-564). Article 6292972 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). https://doi.org/10.1109/SPAWC.2012.6292972

@inproceedings{a4833e8b402a4b4fb45bd027b0c0d048,

title = "Time-varying phase noise and channel estimation in MIMO systems",

abstract = "Performance of high speed communication systems is negatively affected by oscillator phase noise (PN). In this paper joint estimation of channel gains and Wiener PN in multi-input multi-output (MIMO) systems is analyzed. The signal model for the estimation problem is outlined in detail. In order to reduce overhead, a low complexity data-aided least-squares (LS) estimator for jointly obtaining the channel gains and PN parameters is derived. In order to track PN processes over a frame, a new decision-directed extended Kalman filter (EKF) is proposed. Numerical results show that the proposed LS and EKF based PN estimator performances are close to the CRLB and simulation results indicate that by employing the proposed estimators the bit-error rate (BER) performance of a MIMO system can be significantly improved in the presence of PN.",

author = "Hani Mehrpouyan and Nasir, \{Ali A.\} and Thomas Eriksson and Blostein, \{Steven D.\} and Karagiannidis, \{George K.\} and Tommy Svensson",

year = "2012",

doi = "10.1109/SPAWC.2012.6292972",

language = "English",

isbn = "9781467309714",

series = "IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC",

pages = "560--564",

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}

Mehrpouyan, H, Nasir, AA, Eriksson, T, Blostein, SD, Karagiannidis, GK & Svensson, T 2012, Time-varying phase noise and channel estimation in MIMO systems. in 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012., 6292972, IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, pp. 560-564. https://doi.org/10.1109/SPAWC.2012.6292972

Time-varying phase noise and channel estimation in MIMO systems. / Mehrpouyan, Hani; Nasir, Ali A.; Eriksson, Thomas et al.
2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012. 2012. p. 560-564 6292972 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Mehrpouyan, Hani

AU - Nasir, Ali A.

AU - Eriksson, Thomas

AU - Blostein, Steven D.

AU - Karagiannidis, George K.

AU - Svensson, Tommy

PY - 2012

Y1 - 2012

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AB - Performance of high speed communication systems is negatively affected by oscillator phase noise (PN). In this paper joint estimation of channel gains and Wiener PN in multi-input multi-output (MIMO) systems is analyzed. The signal model for the estimation problem is outlined in detail. In order to reduce overhead, a low complexity data-aided least-squares (LS) estimator for jointly obtaining the channel gains and PN parameters is derived. In order to track PN processes over a frame, a new decision-directed extended Kalman filter (EKF) is proposed. Numerical results show that the proposed LS and EKF based PN estimator performances are close to the CRLB and simulation results indicate that by employing the proposed estimators the bit-error rate (BER) performance of a MIMO system can be significantly improved in the presence of PN.

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T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

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Mehrpouyan H, Nasir AA, Eriksson T, Blostein SD, Karagiannidis GK, Svensson T. Time-varying phase noise and channel estimation in MIMO systems. In 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012. 2012. p. 560-564. 6292972. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). doi: 10.1109/SPAWC.2012.6292972

Time-varying phase noise and channel estimation in MIMO systems

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ASJC Scopus subject areas

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