Hybrid EM and KF receiver of MIMO OFDM systems in time-varying environments

Hsin Chang Wu; I. Tai Lu

doi:10.1109/WOCN.2009.5010589

Hybrid EM and KF receiver of MIMO OFDM systems in time-varying environments

Hsin Chang Wu, I. Tai Lu

Electrical and Computer Engineering

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

Abstract

In this paper, simultaneous channel estimation, carrier frequency offset (CFO) estimation, and data decision are considered for multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. It is shown that the expectation maximization (EM) approach is complementary to the Kalman filter (KF) approach where the latter provides poor CFO estimation but good channel estimation and the former provides poor channel estimation but good CFO estimation. A hybrid combination of EM and KF approaches is proposed to take advantages of the strengths and avoid the weaknesses of both approaches. Numerical results have shown the hybrid combination is around 1.2dB better than the non-hybrid approaches (EM or KF) in BER performances. The complexity of the hybrid approach is comparable to the KF approach and is much lower than the EM approach.

Original language	English (US)
Title of host publication	2009 IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2009
DOIs	https://doi.org/10.1109/WOCN.2009.5010589
State	Published - 2009
Event	2009 IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2009 - Cairo, Egypt Duration: Apr 28 2009 → Apr 30 2009

Publication series

Name	2009 IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2009

Other

Other	2009 IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2009
Country/Territory	Egypt
City	Cairo
Period	4/28/09 → 4/30/09

Keywords

Carrier frequency offset (CFO)
Expectation maximization (EM)
Hybrid approach
Kalman filter (KF)
Multi-input multi-output (MIMO)
Orthogonal frequency division multiplexing (OFDM)

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Electrical and Electronic Engineering
Communication

Access to Document

10.1109/WOCN.2009.5010589

Cite this

Hybrid EM and KF receiver of MIMO OFDM systems in time-varying environments. / Wu, Hsin Chang; Lu, I. Tai.
2009 IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2009. 2009. 5010589 (2009 IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2009).

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

Wu, HC & Lu, IT 2009, Hybrid EM and KF receiver of MIMO OFDM systems in time-varying environments. in 2009 IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2009., 5010589, 2009 IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2009, 2009 IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2009, Cairo, Egypt, 4/28/09. https://doi.org/10.1109/WOCN.2009.5010589

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title = "Hybrid EM and KF receiver of MIMO OFDM systems in time-varying environments",

abstract = "In this paper, simultaneous channel estimation, carrier frequency offset (CFO) estimation, and data decision are considered for multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. It is shown that the expectation maximization (EM) approach is complementary to the Kalman filter (KF) approach where the latter provides poor CFO estimation but good channel estimation and the former provides poor channel estimation but good CFO estimation. A hybrid combination of EM and KF approaches is proposed to take advantages of the strengths and avoid the weaknesses of both approaches. Numerical results have shown the hybrid combination is around 1.2dB better than the non-hybrid approaches (EM or KF) in BER performances. The complexity of the hybrid approach is comparable to the KF approach and is much lower than the EM approach.",

keywords = "Carrier frequency offset (CFO), Expectation maximization (EM), Hybrid approach, Kalman filter (KF), Multi-input multi-output (MIMO), Orthogonal frequency division multiplexing (OFDM)",

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AU - Wu, Hsin Chang

AU - Lu, I. Tai

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N2 - In this paper, simultaneous channel estimation, carrier frequency offset (CFO) estimation, and data decision are considered for multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. It is shown that the expectation maximization (EM) approach is complementary to the Kalman filter (KF) approach where the latter provides poor CFO estimation but good channel estimation and the former provides poor channel estimation but good CFO estimation. A hybrid combination of EM and KF approaches is proposed to take advantages of the strengths and avoid the weaknesses of both approaches. Numerical results have shown the hybrid combination is around 1.2dB better than the non-hybrid approaches (EM or KF) in BER performances. The complexity of the hybrid approach is comparable to the KF approach and is much lower than the EM approach.

AB - In this paper, simultaneous channel estimation, carrier frequency offset (CFO) estimation, and data decision are considered for multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. It is shown that the expectation maximization (EM) approach is complementary to the Kalman filter (KF) approach where the latter provides poor CFO estimation but good channel estimation and the former provides poor channel estimation but good CFO estimation. A hybrid combination of EM and KF approaches is proposed to take advantages of the strengths and avoid the weaknesses of both approaches. Numerical results have shown the hybrid combination is around 1.2dB better than the non-hybrid approaches (EM or KF) in BER performances. The complexity of the hybrid approach is comparable to the KF approach and is much lower than the EM approach.

KW - Carrier frequency offset (CFO)

KW - Expectation maximization (EM)

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KW - Kalman filter (KF)

KW - Multi-input multi-output (MIMO)

KW - Orthogonal frequency division multiplexing (OFDM)

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BT - 2009 IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2009

T2 - 2009 IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2009

Y2 - 28 April 2009 through 30 April 2009

ER -

Hybrid EM and KF receiver of MIMO OFDM systems in time-varying environments

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