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with transmitted correlation ({boldsymbol R}^{boldsymbol {N_{t}}}_{l,l}) and received correlation ({boldsymbol R}^{boldsymbol {N_{r}}}_{l,l}).
When the received correlation matrix is R, the eigendeconfiguration of R is computed as R = E S Λ S E S H + E N Λ N E N H, (14).
However, all interfering MTs have the same received correlation matrix, i.e., the path loss is the same for all MTs, which is not the scenario considered in this article.
If the scatters between the transmitter and the receiver are scarce, we can consider that the spatial correlation follows the Kronecker model [27], i.e., the transmitted correlation is independent of the received correlation.
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The best performance is achieved if the two transmitters have a line of sight to the receiver and if the receive correlation is small.
It makes collective use of the data constraints (pilots, cyclic prefix, the finite alphabet constraint, and space-time block coding) and channel constraints (finite delay spread, frequency and time correlation, and transmit and receive correlation) to implement an effective receiver.
More concretely it was found out that frequency offsets and receive correlation have a very strong influence on the receiver performance and can thus not be neglected in the simulations.
Receive correlation is modeled by multiplying (from the left) the MIMO channel matrices with the square root of the receive correlation matrix.
Last but not least, receive correlation also degrades the performance of the system.
(mathbf {R}_{r}^{(j)}) and (mathbf {R}_{t_{k,n}}) denote the receive correlation matrix of the jth radio head and the transmit correlation matrix, respectively.
Figure 5 presents results for SDM, CDD and STBC when transmit and receive correlation are set to ρ Tx =0.25 and ρ Rx =0.75, respectively.
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Justyna Jupowicz-Kozak
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