Multi-window Gabor expansion for evolutionary spectral analysis
Signal Processing - Special issue on acoustic echo and noise control
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Wireless Communications
Deconvolution in the presence of Doppler with application tospecular multipath parameter estimation
IEEE Transactions on Signal Processing
Pilot-Assisted Time-Varying Channel Estimation for OFDM Systems
IEEE Transactions on Signal Processing
Iterative joint time-variant channel estimation and multi-user detection for MC-CDMA
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
A dynamic tap allocation for concurrent CMA-DD equalizers
EURASIP Journal on Advances in Signal Processing
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Multiple-input multiple-output (MIMO) systems hold the potential to drastically improve the spectral efficiency and link reliability in future wireless communications systems. A particularly promising candidate for next-generation fixed and mobile wireless systems is the combination of MIMO technology with Orthogonal Frequency Division Multiplexing (OFDM). OFDM has become the standard method because of its advantages over single carrier modulation schemes on multipath, frequency selective fading channels. Doppler frequency shifts are expected in fast-moving environments, causing the channel to vary in time, that degrades the performance of OFDM systems. In this paper, we present a time-varying channel modeling and estimation method based on the Discrete Evolutionary Transform to obtain a complete characterization of MIMO-OFDM channels. Performance of the proposed method is evaluated and compared on different levels of channel noise and Doppler frequency shifts.