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

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2 Author(s)
Kyeong Jin Kim ; Nokia Res. Center, Irving, TX, USA ; Jiang Yue

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.

Published in:

Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on  (Volume:2 )

Date of Conference:

3-6 Nov. 2002