Mobile speed estimation for broadband wireless communications over Rician fading channels
IEEE Transactions on Wireless Communications
Performance of space-time-frequency block-coded MC-DS-CDMA in correlated conditions
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Parameter Estimation for Correlated MIMO Channels with Frequency-Selective Fading
Wireless Personal Communications: An International Journal
Robust transmit processing for BICM-OFDM systems
IEEE Transactions on Wireless Communications
Design of measurement-based stochastic wideband MIMO channel simulators
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Soft-decode-and-forward for asynchronous wireless networks with doubly-selective fading
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Transmit precoding for MIMO systems with partial CSI and discrete-constellation inputs
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A novel emulator for discrete-time MIMO triply selective fading channels
IEEE Transactions on Circuits and Systems Part I: Regular Papers - Special section on 2009 IEEE custom integrated circuits conference
Hardware Emulation of Wideband Correlated Multiple-Input Multiple-Output Fading Channels
Journal of Signal Processing Systems
Tracking time-varying correlated underwater acoustic channels in the signal subspace
Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems
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A statistical discrete-time model is proposed for simulating wideband multiple-input multiple-output (MIMO) fading channels which are triply selective due to angle spread, Doppler spread, and delay spread. The new discrete-time MIMO channel model includes the combined effects of the transmit filter, physical MIMO multipath channel fading, and receive filter, and it has the same sampling period as that of the MIMO receiver. This leads to very efficient simulation of physical continuous-time MIMO channels. A new method is also presented to efficiently generate the MIMO channel stochastic coefficients. The statistical accuracy of the discrete-time MIMO channel model is rigorously verified through theoretical analysis and extensive simulations in different conditions. The high computational efficiency of the discrete-time MIMO channel model is illustrated by comparing it to that of the continuous-time MIMO channel model. The new model is further employed to evaluate the channel capacity of MIMO systems in a triply selective Rayleigh fading environment. The simulation results reveal some interesting effects of spatial correlations, multipaths, and number of antennas on the MIMO channel capacity.