Equalization circuitry for a data channel in an integrated circuit device includes an analog equalization stage coupled to the data channel, and a digital signal processing stage downstream of the analog equalization stage. The digital signal processing stage generates control signals to control the analog equalization stage, and includes a digital equalization stage that operates on output of the analog equalization stage. The analog equalization stage may further include an enhanced processing stage for optical signals, which may be selectably coupled to the analog equalization stage. The analog equalization stage may include at least one feed-forward or feedback equalization stage, and a decision stage that outputs decision signals at one of a first plurality of signal levels. The enhanced processing stage operates on the decision signals to output enhanced decision signals at one of a second plurality of signal levels of higher resolution than the first plurality of signal levels.

An adaptive finite impulse response (FIR) filter for filtering an I/Q data stream having a sample period. The FIR filter comprises at least one sample-period tap delay configured to delay the I/Q data stream by an integer multiple of the sample period of the I/Q data stream, and at least one sub-sample-period tap delay configured to delay the I/Q data stream by a non-integer multiple of the sample period of the I/Q data stream. A set of adaptive weights is provided and configured to weight samples of the delayed I/Q data stream. An adder is responsive to the weighted samples and configured to combine the weighted samples of the delayed I/Q data streams to generate a filtered I/Q data stream.

A method comprises receiving an input signal at an input of a receiver and retrieving a data sample signal and an error sample signal from the input signal. The method also comprises applying an adaptive procedure to generate a feedback code using the data sample signal and the error sample signal for feeding back into a decision feedback equalization (DFE) module. Further, it comprises converting the feedback code into a corresponding voltage value and assigning the corresponding voltage value as a tap weight for the DFE module. Finally, it comprises generating an edge sample signal by applying DFE to the input signal using the DFE module, wherein the DFE is based on the tap weight.

A method for supporting a receiving operation based on 2D-NUC performed by a first wireless device according to the present embodiment, comprises the steps of: receiving first and second input information from a second wireless device; performing equalization on the first and second input information; and generating LLR information on the basis of lookup table information predetermined for the equalized first and second input information and 2D-NUC.

Equalization circuitry for a data channel in an integrated circuit device includes an analog equalization stage coupled to the data channel, and a digital signal processing stage downstream of the analog equalization stage. The digital signal processing stage generates control signals to control the analog equalization stage, and includes a digital equalization stage that operates on output of the analog equalization stage. The analog equalization stage may further include an enhanced processing stage for optical signals, which may be selectably coupled to the analog equalization stage. The analog equalization stage may include at least one feed-forward or feedback equalization stage, and a decision stage that outputs decision signals at one of a first plurality of signal levels. The enhanced processing stage operates on the decision signals to output enhanced decision signals at one of a second plurality of signal levels of higher resolution than the first plurality of signal levels.

An adaptive filter circuit includes a plurality of filter cores associated with each other and configured to perform a calculation operation on a first target input signal, and an auxiliary core configured to generate cross-terms between block correlation matrices respectively corresponding to kernels that correspond to the first target input signal and provide the cross-terms to the plurality of filter cores, where the plurality of filter cores are further configured to estimate effective channels respectively corresponding to the kernels based on the cross-terms.

A data transmission method includes steps of: acquiring, by a network side, a current data transmission rule, the current data transmission rule including a mapping relationship between currently-scheduled K UEs and data layers on N transmission resources corresponding to a selected encoding matrix, one UE at least occupying one data layer; and transmitting, by the network side, data to the K UEs in accordance with the current data transmission rule.

A multi building block architecture may be configured to generate a waveform (a target wideband signal) for use in a wireless communication system, where the waveform supports a variety of baseband signals. The task of generating a target wideband signal can be divided into several tasks, each task relating to the generating of one of a plurality of sub-carrier bands. Each of the sub-carrier bands (sub-bands) may be generated by one of the sub-band building units included in the sub-band building blocks of the architecture. Several sub-bands may be formed, by a sub-band group building block, into a sub-band group. Multiple sub-band groups may be formed, by a wideband building block, into the target wideband signal.

Methods and systems for suppressing clutter, for example, ground clutter, in radar systems are provided. The methods and systems can be employed in radar systems having an antenna system and at least two receive beams, for example, a main beam and an auxiliary beam. The methods include receiving data streams from each of the at least two receive beams, where each data stream is associated with range bins and include data representing clutter, and, before or after Doppler filtering, generating an adaptive weight from summations of the data streams for each of the range bins, and applying the generated weight to at least one of the data streams to provide Doppler filtered and spatially nulled data streams that can be used to more accurately identify targets, such as, aircraft.

A data transmission method includes steps of: acquiring, by a network side, a current data transmission rule, the current data transmission rule including a mapping relationship between currently-scheduled K UEs and data layers on N transmission resources corresponding to a selected encoding matrix, one UE at least occupying one data layer; and transmitting, by the network side, data to the K UEs in accordance with the current data transmission rule.