A communication system receives a jammed signal including a sequence of complex numbers encoding one or combination of symbols transmitted by multiple transmitters. The system transforms the sequence of complex numbers into an image of real numbers having at least two columns and multiple rows, with real values of real and imaginary parts of each complex number forming different columns but the same row of the first image, processes the image with a neural network trained to suppress the wideband signal in the received signal, and detects the symbols transmitted by the transmitters from the de-jammed signal.

Methods and systems for identifying a signal-of-interest in an over-the-air signal that includes a self-interfering signal. The over-the-air signal and the transmitted signal are sampled and passed to an adaptive filter. The adaptive filter processes a plurality of samples in parallel. The samples are subbanded by passing through an analysis filter, downsampled, and then used to update the adaptive filter coefficients. The updated filter coefficients may be updated based on a variable step-size that decreases as the system converges or a fixed step-size.

A receiving device includes an equalization processor including multiple delay equalizers. The equalization processor is configured to: obtain a first error between an output of one specific tap in the multiple delay equalizers and a predetermined reference value, and calculate a first weight with which the first error is minimized; cause a calculation result of the first weight to be reflected in all taps in the multiple delay equalizers except the specific tap, obtain a second error between outputs of all taps in the multiple delay equalizers and the predetermined reference value, and calculate a second weight with which the second error is minimized; and update coefficients of all taps in the multiple delay equalizers at the same timing using the calculation result of the first weight and a calculation result of the second weight, and calculate an output of the equalization processor.

There are provided a signal-to-noise ratio determining method and device for a receiving end of an information transmission system, and a channel equalization method and device based on a minimum mean square error (MMSE) equalizer. The signal-to-noise ratio determining method and device are based on an information transmission system in which timing synchronization is achieved by using a structure of a repetitive training sequence. The signal-to-noise ratio determining method includes: acquiring a peak and a valley of an autocorrelation function, where the peak represents a sum of a signal average power and a noise average power, and the valley represents the noise average power; and determining a signal-to-noise ratio based on the peak and the valley.

An equalizer includes: a channel estimator configured to generate a set of time-domain channel coefficients based on a receive signal; a frequency-domain transformer configured to generate a set of frequency-domain channel coefficients based on a frequency transform of the set of time-domain channel coefficients; an equalizer coefficient generator configured to generate a set of frequency-domain equalizer coefficients based on the set of frequency-domain channel coefficients; a time-domain transformer configured to generate a set of time-domain equalizer coefficients based on a time transform of the set of frequency-domain equalizer coefficients; and a filter configured to filter the receive signal based on a filter function that is based on the set of time-domain equalizer coefficients.

A communication system receives a jammed signal including a sequence of complex numbers encoding one or combination of symbols transmitted by multiple transmitters. The system transforms the sequence of complex numbers into an image of real numbers having at least two columns and multiple rows, with real values of real and imaginary parts of each complex number forming different columns but the same row of the first image, processes the image with a neural network trained to suppress the wideband signal in the received signal, and detects the symbols transmitted by the transmitters from the de jammed signal.

Methods and systems are described for jointly processing multiple sectors in a wireless communication network. In one aspect, a first antenna serving a first sector is associated with a second antenna serving a second sector for joint processing. First and second antenna data is received. A plurality of wireless users associated with at least one of the first or second antenna data to model for channel estimation is determined, including an interfering wireless user connected via a third antenna serving a third sector not currently being jointly processed with the first or second antenna data. Channel estimates are determined for the plurality of wireless users. The first and second antenna data is jointly processed. Interference from the wireless user connected via a third antenna is suppressed based on a determined corresponding channel estimate for the wireless user and other received information for the wireless user.

Methods and systems are described for jointly processing multiple sectors in a wireless communication network. In one aspect, a first antenna serving a first sector is associated with a second antenna serving a second sector for joint processing. First and second antenna data is received. A plurality of wireless users associated with at least one of the first or second antenna data to model for channel estimation is determined, including an interfering wireless user connected via a third antenna serving a third sector not currently being jointly processed with the first or second antenna data. Channel estimates are determined for the plurality of wireless users. The first and second antenna data is jointly processed. Interference from the wireless user connected via a third antenna is suppressed based on a determined corresponding channel estimate for the wireless user and other received information for the wireless user.

A method is provided of receiving user data from multiple transmitters, the user data from each transmitter having been encoded as a Low Density Lattice codeword, and the multiple Low Density Lattice codewords having been transmitted so as to be received as a combined signal at a receiver, the method of receiving comprising the steps of: (i) receiving the signal, (ii) calculating coefficients of linear combinations of the codewords from the multiple transmitters, (iii) calculating a scaling factor to be applied to the signal based on the coefficients, (iv) applying the scaling factor to the signal to provide a linear combination of the codewords, (v) decoding the linear combination of the codewords based on channel state information to obtain an optimal independent linear combination of user data, (vi) repeating steps (ii), (iii) (iv) and (v) to obtain at least as many optimal independent linear combinations as the number of transmitters, and recovering the user data from the optimal independent linear combinations.

The present disclosure provides a device and method for wireless communication and a communication terminal. The device comprises: a spatial filtering unit, configured to perform spatial filtering on a signal received by each antenna in a receiving antenna array, and combine filtered signals, wherein all coefficients adopted by spatial filtering are configured to reduce an equivalent channel time-variant degree of a combined signal.