Joint channel estimation and data detection algorithms for MIMO-OFDM systems

We propose a new joint channel estimation and data detection algorithms for the MIMO-OFDM system. Considering a received signal introduced by propagation delay and a channel with multipath fading, we used the extended Kalman filter (EKF) for a delay/channel estimator. As a data detector we separatel...

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Bibliographic Details
Published inConference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002 Vol. 2; pp. 1857 - 1861 vol.2
Main Authors Kyeong Jin Kim, Jiang Yue
Format Conference Proceeding
LanguageEnglish
Published IEEE 2002
Subjects
Channel estimation
Delay estimation
Detection algorithms
Detectors
Fading
Interference cancellation
MIMO
OFDM
Receiving antennas
Transmitting antennas
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ISBN0780375769
9780780375765
ISSN1058-6393
DOI10.1109/ACSSC.2002.1197096

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Summary:We propose a new joint channel estimation and data detection algorithms for the MIMO-OFDM system. Considering a received signal introduced by propagation delay and a channel with multipath fading, we used the extended Kalman filter (EKF) for a delay/channel estimator. As a data detector we separately apply the QRD-M algorithm. By separating the data detector and the delay/channel estimator, we can efficiently detect and estimate the unknown parameters. Also, a new delay/channel estimator leads to a better data detection performance.
ISBN:0780375769
9780780375765
ISSN:1058-6393
DOI:10.1109/ACSSC.2002.1197096