Abstract: A method includes determining a number of polarizations. The method also includes determining a number of receive antennas that have a same polarization, determining a total number of receive antennas based on the number of polarizations and the number of receive antennas that have the same polarization; and applying singular value decomposition precoding on all the receive antennas with the same polarization.

Abstract: A receiver unit comprising a signal input configured to receive a receive signal including a plurality of data symbols, a symbol detection circuit configured to detect a subset of data symbols, a reliability measuring circuit configured to determine a reliability value for the data symbols, a feedback loop configured to detect the subset of data symbols and the reliability value iteratively, and a signal output circuitry configured to determine output values of the subset of data symbols on the basis of the detected subset of data symbols and the determined reliability value.

Abstract: A receiver unit comprising a signal input configured to receive a receive signal including a plurality of data symbols, a symbol detection circuit configured to detect a subset of data symbols, a reliability measuring circuit configured to determine a reliability value for the data symbols, a feedback loop configured to detect the subset of data symbols and the reliability value iteratively, and a signal output circuitry configured to determine output values of the subset of data symbols on the basis of the detected subset of data symbols and the determined reliability value.

Abstract: A receiver apparatus receives a transmit signal through a plurality of transmission channels, wherein each transmission channel is described by its channel vector. A sparseness evaluation unit (127) may obtain a sparseness measure containing sparseness information for previously estimated frequency-domain channel vectors. From the plurality of receive signals, an estimator unit (120) estimates updated channel vectors for the transmission channels by applying an iterative blind channel estimation algorithm that may consider a change of the sparseness measure, out-of-band energy information and/or signal-to-noise information and cross-relations between pairs of receive signals. A combining unit (130) may combine the receive signals on the basis of combining coefficients derived from the estimated channel impulse responses for a pre-selected diversity combining scheme to obtain a combined receive signal representing an estimation of the transmit signal.