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.

The present invention relates to a 5th-generation (5G) or pre-5G communication system, which is to be provided for supporting a higher data transmission rate after the 4th-generation (4G) communication system, such as long term evolution (LTE). The present invention provides a method for receiving a signal in a multi-carrier system, the method comprising the steps of: performing, with respect to an input signal, a waveform pre-processing operation on the basis of at least one of an equalizing operation and a filtering operation; checking whether the waveform pre-processed signal is a Gaussian proximity signal; and performing soft-de-mapping with respect to the waveform pre-processed signal on the basis of a result of the checking.

A femtocell telecommunication system equipment comprising: a base apparatus structured to provide a first information signal and control signals; an electrical conductor based transmission line connected to the base apparatus; and a bidirectional conversion apparatus adapted to receive/transmit from/on the transmission line the first signal, and receive on the transmission line the control signals. The bidirectional apparatus comprising: a processing module structured to process the first signal to generate a second information signal and vice-versa; the second signal being adapted to be transmitted/received by an antenna device connectable to the bidirectional apparatus.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an indication of a noise whitening matrix associated with processing of received communications. The UE may receive data with precoding that is based at least in part on the noise whitening matrix. Numerous other aspects are described.

The disclosure relates to a radio receiver, comprising: a receiving stage configured to receive a multi-layered signal comprising a plurality of layers; a division stage configured to divide the plurality of layers into a first subset and a second subset (206); a first whitening filter configured to filter the multi-layered signal based on a noise and interference covariance measure derived from the second subset to provide a first filtered multi-layered signal; and a first detection stage configured to detect at least one layer of the first subset based on the first filtered multi-layered signal.

The present invention relates to a circuit structure for realizing real-time pre-distortion calibration of broadband IQ modulation, comprises a baseband generation module, for the calibration signal generator to generate two orthogonal sine cosine calibration signals respectively according to the calibration bandwidth and the order of the pre-distortion filter, and the data switch is switched to the relevant data channel; a digital-to-analog conversion module, for converting the signals into analog I and Q baseband signals; a frequency synthesis module, for generating signals in a certain frequency range; a IQ modulation module, for mixing the analog baseband signal with the local oscillator signal; an amplitude control module, for continuous adjustment of the RF signal power. The present invention also relates to a method for realizing real-time pre-distortion calibration processing of broadband IQ modulation. With the circuit structure and method of the present invention for realizing real-time pre-distortion calibration of broadband IQ modulation, the calibration process is completed locally in real time, solving the problem of frequency response error correction caused by hardware circuit performance change, so that automatic pre-distortion calibration of frequency response can be completed on site in real time.

What is disclosed is a method for wireless communication comprising receiving a wireless communication via a receiver of the mobile communication device, deriving a demodulation reference signal from a first plurality of symbols of the wireless communication; creating a channel estimation matrix using the demodulation reference signal; inverting the channel estimation matrix to obtain a channel pseudo-inverse matrix; deriving a tracking reference signal from a second plurality of symbols of the wireless communication; calculating a phase shift for one or more additional symbols based on the tracking reference signal; determining a corrected channel pseudo-inverse matrix for the one or more additional symbols by adjusting the channel pseudo-inverse matrix according to the calculated phase shift; and controlling the receiver to accomplish data detection using the corrected channel pseudo-inverse matrix on one or more orthogonal frequency division multiplexing subcarriers.

A filtering device includes a low-pass filter (LPF), a noise estimation circuit and a first combining circuit. The LPF receives and filters a pre-filtering signal to generate an output signal of the filtering device. The noise estimation circuit estimates an estimated noise signal according to the output signal and the pre-filtering signal. The first combining circuit subtracts the estimated noise signal from an input signal of the filtering device to generate the pre-filtering signal.

Disclosed in an embodiment of the disclosure is an interference rejection combining (IRC) method supporting transmit diversity, in which an N*N interference and noise covariance matrix corresponding to one subcarrier is generated from signals, in a transmit diversity mode, received at cell reference signal (CRS) resource positions via N receiving antennas, where N is greater than or equal to 3; Cholescy decomposition and upper triangular matrix inversion is performed on the N*N interference and noise covariance matrix to obtain an N*N block matrix; the N*N block matrix is expanded to a 2N*2N noise whitening matrix; and the received signals and channel estimation values are whitened according to the noise whitening matrix, and the whitened received signals and channel estimation values used to obtain a minimum mean square error-IRC (MMSE-IRC) processing result. Also disclosed are an IRC device supporting the transmit diversity, and a computer storage medium.

Apparatuses and methods are disclosed for receiving or obtaining wireless signals. A first wireless device may receive a wireless signal including a first signal and a number of second signals. The first signal may contain data intended for the first wireless device, and the number of second signals may contain data intended for one or more second wireless devices. The first wireless device may select one or more of the number of second signals, determine a pre-whitening matrix based on an interference and noise covariance of the unselected second signals, and recover the first signal by using the pre-whitened signal.