On parameter estimation of MIMO flat-fading channels with frequency offsets
IEEE Transactions on Signal Processing
ML estimation of time and frequency offset in OFDM systems
IEEE Transactions on Signal Processing
Simplified channel estimation for OFDM systems with multiple transmit antennas
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
Channel estimation for OFDM systems with transmitter diversity in mobile wireless channels
IEEE Journal on Selected Areas in Communications
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A multiple-input multiple-output (MIMO) wireless communication system with orthogonal frequency division multiplexing (OFDM) is expected to be a promising scheme. However, the estimation of the carrier frequency offset (CFO) and the channel parameters is a great challenging task. In this paper, a maximum-likelihood- (ML-) based algorithm is proposed to jointly estimate the frequency-selective channels and the CFO in MIMO-OFDM by using a block-type pilot. The proposed algorithm is capable of dealing with the CFO range nearly ± 1/2 useful OFDM signal bandwidth. Furthermore, the cases with timing error and unknown channel order are discussed. The Cramér-Rao bound (CRB) for the problem is developed to evaluate the performance of the algorithm. Computer simulations show that the proposed algorithm can exploit the gain from multiantenna to improve effectively the estimation performance and achieve the CRB in high signal-to-noise ratio (SNR).