There is increasing interest in the exploration of multiple-input and multiple-output (MIMO) systems to enhance the capacity of wireless systems. In the first part of this study, we develop a broadband MIMO channel capacity for burst signal transmission and tap gain correlation model based on Geometrically Based Single Bounce (GBSB) model. We investigate tap gain correlation effects on the broadband MIMO channel capacity. In the second part, we develop a broadband MIMO channel sounder. The broadband MIMO channel sounder is used to collect the channel impulse responses (CIRs) of an indoor MIMO propagation environment. Then, we evaluate the broadband MIMO system performance based on the measured CIRs.; The first part of this dissertation presents two major contributions to broadband MIMO systems. A total correlation model which includes both spatial and tap gain correlation is derived. The information theoretic channel capacity based on this total correlation is evaluated for geometrical based channel models. The tap gain correlation model is then developed based on GBSB model. We also evaluate the channel capacity based on this tap gain correlation model and the total correlation model.; The second part of this dissertation presents three major contributions to the area of broadband MIMO channel measurements. We directly evaluate the channel capacity using the measured CIRs. Stochastic MIMO channels are also developed by exploiting the measured CIRs. Finally, we propose a technique to estimated the spatial correlation of both transmit and receive arrays for arbitrary antenna separation using only one set of CIRs.
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