Sentence examples for receive correlation from inspiring English sources
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.
In particular, improved minimum mean square error (MMSE) transceiver is designed based on modified cost functions, with channel mean as well as both transmit and receive correlation information at both ends.
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.
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).
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.
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.
However, each vector is assumed to be correlated so that and, where is the transmit antenna correlation matrix, is the receive antenna correlation matrix, and and are independent identically distributed (iid) complex Gaussian vectors of sizes and respectively, (here, and are the unique square roots of Hermitian positive semidefinite matrices and, resp., [18]).
