Methods and systems are described for sampling a data signal using a data sampler operating in a data signal processing path having a decision threshold associated with a decision feedback equalization (DFE) correction factor, measuring an eye opening of the data signal by adjusting a decision threshold of a spare sampler operating outside of the data signal processing path to determine a center-of-eye value for the decision threshold of the spare sampler, initializing the decision threshold of the spare sampler based on the center-of-eye value and the DFE correction factor, generating respective sets of phase-error signals for the spare sampler and the data sampler responsive to a detection of a predetermined data pattern, and updating the decision threshold of the data sampler based on an accumulation of differences in phase-error signals of the respective sets of phase-error signals.

A communication device includes a zero-forcing equalizer that receives a receipt signal and execute zero-forcing equalization on the receipt signal, a partial response equalizer that receives the receipt signal and execute partial response equalization on the receipt signal, a first weighted value calculator that calculates a first weighted value based on signal quality of the receipt signal output from the zero-forcing equalizer, a second weighted value calculator that calculates a second weighted value based on signal quality of the receipt signal output from the partial response equalizer, and an estimator that estimates a maximum likelihood sequence by supplying the first weighted value to state transition based on output by the zero-forcing equalizer and supplying the second weighted value to state transition based on output by the partial response equalizer.

Various embodiments herein provide techniques for minimum mean-square error interference rejection combining (MMSE-IRC) processing of a received signal, distributed between a baseband unit (BBU) and a remote radio unit (RRU). The RRU may perform a first phase of processing based on an extended channel that includes a channel of one or more user equipments (UEs) served by the RRU and interference samples that correspond to other cells or additive noise. The first phase may include scaling the interference samples by a scaling coefficient to obtain a modified extended channel, and performing maximum ratio combining (MRC) on the modified extended channel to obtain a processed signal. The RRU may send the processed signal to the BBU for the second phase of processing. The second phase of processing may include regularized zero forcing to remove interference. Other embodiments may be described and claimed.

Methods and systems are described for sampling a data signal using a data sampler operating in a data signal processing path having a decision threshold associated with a decision feedback equalization (DFE) correction factor, measuring an eye opening of the data signal by adjusting a decision threshold of a spare sampler operating outside of the data signal processing path to determine a center-of-eye value for the decision threshold of the spare sampler, initializing the decision threshold of the spare sampler based on the center-of-eye value and the DFE correction factor, generating respective sets of phase-error signals for the spare sampler and the data sampler responsive to a detection of a predetermined data pattern, and updating the decision threshold of the data sampler based on an accumulation of differences in phase-error signals of the respective sets of phase-error signals.

Methods and systems are described for sampling a data signal using a data sampler operating in a data signal processing path having a decision threshold associated with a decision feedback equalization (DFE) correction factor, measuring an eye opening of the data signal by adjusting a decision threshold of a spare sampler operating outside of the data signal processing path to determine a center-of-eye value for the decision threshold of the spare sampler, initializing the decision threshold of the spare sampler based on the center-of-eye value and the DFE correction factor, generating respective sets of phase-error signals for the spare sampler and the data sampler responsive to a detection of a predetermined data pattern, and updating the decision threshold of the data sampler based on an accumulation of differences in phase-error signals of the respective sets of phase-error signals.

Methods and systems are described for sampling a data signal using a data sampler operating in a data signal processing path having a decision threshold associated with a decision feedback equalization (DFE) correction factor, measuring an eye opening of the data signal by adjusting a decision threshold of a spare sampler operating outside of the data signal processing path to determine a center-of-eye value for the decision threshold of the spare sampler, initializing the decision threshold of the spare sampler based on the center-of-eye value and the DFE correction factor, generating respective sets of phase-error signals for the spare sampler and the data sampler responsive to a detection of a predetermined data pattern, and updating the decision threshold of the data sampler based on an accumulation of differences in phase-error signals of the respective sets of phase-error signals.

A detection method for a MIMO system receiver in which a linear detection is carried out in order to provide an equalised vector. This equalised vector is represented in a reduced basis obtained from the reduction of the channel matrix. It undergoes an iterative noise cancellation process in the representation according to the reduced basis. Upon each iteration, a search is carried out for the component of the equalised vector in the reduced basis located the furthest from an area unperturbed by noise surrounding the product constellation with a tolerance margin, and the point representative of the equalised vector of this area by subtracting therefrom a noise vector in the direction of this component, the module whereof is equal to a fraction of the tolerance margin. The iterative cancellation converges when the equalised vector belongs to the area unperturbed by noise.

Disclosed are a Multiple-Input Multiple-Output (MIMO) system-based signal detection method. The method includes: performing a scaling calculation on a first covariance matrix according to first main diagonal elements in the first covariance matrix to obtain a second covariance matrix; obtaining a whitening matrix according to the second covariance matrix; taking the whitening matrix, a vector of a receiving signal and a channel matrix as input parameters, and inputting the parameters into a mathematical model for a whitening operation and perform a whitening calculation to obtain an operation result; and detecting a transmit signal in a MIMO system according to the operation result to obtain a detection result. Also disclosed are a MIMO system-based signal detection device and a computer storage medium.

Apparatus and methods are disclosed for transmitting and receiving data in a wireless communication network. Apparatus for transmitting data in a wireless communication network comprises a real modulation branch for modulating a first segment of a bit sequence to obtain a real modulated signal, a complex modulation branch for modulating a second segment of the bit sequence to obtain a complex modulated signal, a signal dividing unit configured to divide the bit sequence into a plurality of alternating first segments and second segments, and to send the first segments and the second segments to the real modulation branch and the complex modulation branch respectively, and a transmitter configured to transmit the real and complex modulated signals. Apparatus and methods are also disclosed for demultiplexing a plurality of data streams, using wide linear zero forcing with successive interference cancellation.

The present disclosure relates to a method and an apparatus for reducing or eliminating interferences between resource blocks in a transmitter and/or a receiver of a filter bank multicarrier system is provided. According to at least one embodiment, the method comprises performing discrete Fourier transform (DFT) on a data symbol vector to be transmitted thereby generating a DFT-spread data symbol vector, performing a cyclic shift operation on the DFT-spread data symbol vector to arrange a small magnitude element of the DFT-spread data symbol vector at an edge of a resource block allocated to the DFT-spread data symbol vector, and performing filter bank multicarrier (FBMC) modulation on a cyclically shifted DFT-spread data symbol vector.