A method includes receiving a data signal over a multi-input multi-output (MIMO) channel. The method further includes equalizing the data signal, by an adaptive equalizer circuit having an associated target, to provide an equalized output of the data signal. As part of the method, taps of the equalizer circuit and coefficients of the target are estimated. A constraint is imposed on the coefficients of the target as part of the estimation of the coefficients of the target. A similar minimization process is used with constraint imposed on whitening filter taps associated with a DDNP detector in the MIMO channel.

Various embodiments described herein provide for data communications using decision feedback equalization (DFE) for electro-magnetic interference (EMI) cancellation in a received signal, such as a signal received over a data communication medium and at a receiver of a communication system. In particular, some embodiments use a DFE and a feed-forward equalizer (FFE) to equalize a signal received by a first physical layer device from a second physical layer device over a data communication medium, and to operate as a narrowband notch filter to cancel EMI from the received signal.

A method of digital communication is described. The method includes generating a first orthogonal frequency division multiplexed (OFDM) signal from a first portion of information bits received at the communication apparatus, generating a second OFDM signal from a second portion of information bits received at the communication apparatus, generating a first input for a modulator using the first OFDM signal and the second OFDM signal, generating a second input for the modulator using the second OFDM signal and the second OFDM signal, and operating the modulator to produce a modulated signal from the first input and the second input.

An apparatus including a processor configured to receive a digital communication signal, wherein the digital communication signal includes a common reference signal and transmitted data. The processor determines a first interfering channel matrix for a first interfering cell based on a channel estimation of the common reference signal, and estimates a first power offset ratio and a first effective pre-coding matrix for the first interfering cell by evaluating a maximum likelihood metric, wherein the maximum likelihood metric is based on a first interfering channel correlation. The processor then reconstructs a channel covariance matrix based on the estimated first power offset ratio and the first effective pre-coding matrix and detects the transmitted data based on the reconstructed channel covariance matrix.

In radio transmission between a mobile communication network and a user equipment, signals are received in a subframe comprising a first group of one or more resource elements and a second group of one or more resource elements. The first group is subject to a first level of interference from at least one further radio channel while the second group is subject to a second level of interference from the at least one further radio channel. A first measurement and a second measurement are performed. Based on the first and second measurements the interference from the at least one further radio channel is estimated and interference mitigation is performed.

The present invention relates to not only a 4th-generation (4G) communication system such as long term evolution (LTE), but also a 5th-generation (5G) or pre-5G communication system which is provided to support a higher data rate. The present invention provides a method for performing a channel decoding operation by a reception device in a communication system, the method comprising the steps of: generating at least two resource elements (REs) into at least two RE groups; and generating a soft decision decoding metric for a signal received through each of the at least two RE groups.

An improved receiver design implements a method for modeling users in SIC turbo loop multiuser detection architectures that reduces the number of implementation cycles, and thereby reduces the computational overhead associated with computing the inverse of the received signal covariance matrix, by efficiently reusing components of a QR decomposition. By reusing some of the computational results from the previous turbo loop's equalizer calculation, the disclosed receiver significantly reduces the computational burden of updating the linear equalizer on each turbo loop. Depending on the embodiment, this reduction can be accomplished in at least two different ways, depending on the dimensionality and other aspects of the implementation.

Apparatuses, methods, and systems are disclosed for calculating an EVM of a transmitter. An apparatus includes a transceiver that receives, using an unbiased linear minimum mean square error (MMSE) equalizer, a transmission signal transmitted via a propagation channel, the signal generated and transmitted using an antenna port at a transmitter, the antenna port comprising a plurality of antennas (N) and an antenna connector for each of the plurality of antennas. The apparatus includes a processor that determines an EVM for the antenna port of the transmitter based on an output of the unbiased linear MMSE equalizer.

An electronic device and method for signal detection in a wireless communication system is provided. The electronic device includes a receiving unit configured to receive a radio frequency (RF) signal, a control unit configured to process the received signal, wherein processing the received signal comprises canceling a signal corresponding to a first stage in the received signal, detecting a signal corresponding to a second stage by applying lattice reduction, and determining a final detected signal by combining the detected signal corresponding to the second stage with candidates of the signal corresponding to the first stage.

An improved receiver design implements a method for modeling users in SIC turbo loop multiuser detection architectures that reduces the number of implementation cycles, and thereby reduces the computational overhead associated with computing the inverse of the received signal covariance matrix, by efficiently reusing components of a QR decomposition. By reusing some of the computational results from the previous turbo loop's equalizer calculation, the disclosed receiver significantly reduces the computational burden of updating the linear equalizer on each turbo loop. Depending on the embodiment, this reduction can be accomplished in at least two different ways, depending on the dimensionality and other aspects of the implementation.