Joint carrier frequency offset and channel estimation for MIMO-OFDM systems using extended H ∞ filter

Yihua Yu; Yuan Liang

doi:10.1109/LCOMM.2012.021612.112610

Joint carrier frequency offset and channel estimation for MIMO-OFDM systems using extended H _∞ filter

Yihua Yu^*, Yuan Liang

^*Corresponding author for this work

Beijing University of Posts and Telecommunications

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

We address the problem of joint carrier frequency offset (CFO) and channel estimation for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems over time-varying channels. The CFOs between different pairs of transmit and receive antennas are considered to be different. The method is derived based on the extended H _∞ filter (EHF). Compared to the conventional extended Kalman filter (EKF)-based method, the EHF-based method does not require any knowledge of the noise distributions, so it is more flexible and robust to the unknown disturbances. Simulation results are provided to illustrate the performance of this method.

Original language	English
Article number	6155575
Pages (from-to)	476-478
Number of pages	3
Journal	IEEE Communications Letters
Volume	16
Issue number	4
DOIs	https://doi.org/10.1109/LCOMM.2012.021612.112610
Publication status	Published - Apr 2012

Keywords

Carrier frequency offset (CFO)
channel estimation
extended H filter
multiple-input multiple-output (MIMO)
orthogonal frequency-division multiplexing (OFDM)

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10.1109/LCOMM.2012.021612.112610

Cite this

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abstract = "We address the problem of joint carrier frequency offset (CFO) and channel estimation for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems over time-varying channels. The CFOs between different pairs of transmit and receive antennas are considered to be different. The method is derived based on the extended H ∞ filter (EHF). Compared to the conventional extended Kalman filter (EKF)-based method, the EHF-based method does not require any knowledge of the noise distributions, so it is more flexible and robust to the unknown disturbances. Simulation results are provided to illustrate the performance of this method.",

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AB - We address the problem of joint carrier frequency offset (CFO) and channel estimation for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems over time-varying channels. The CFOs between different pairs of transmit and receive antennas are considered to be different. The method is derived based on the extended H ∞ filter (EHF). Compared to the conventional extended Kalman filter (EKF)-based method, the EHF-based method does not require any knowledge of the noise distributions, so it is more flexible and robust to the unknown disturbances. Simulation results are provided to illustrate the performance of this method.

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KW - channel estimation

KW - extended H filter

KW - multiple-input multiple-output (MIMO)

KW - orthogonal frequency-division multiplexing (OFDM)

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JO - IEEE Communications Letters

JF - IEEE Communications Letters

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Joint carrier frequency offset and channel estimation for MIMO-OFDM systems using extended H _∞ filter

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