A method of channel estimation for a precoded channel includes generating an initial frequency autocorrelation of the precoded channel for a current bundle of a received data transmission, generating an expanded frequency autocorrelation based on the initial frequency autocorrelation of the precoded channel, providing the expanded frequency autocorrelation to a neural network, generating, by the neural network, an estimated frequency autocorrelation of an unprecoded channel based on the expanded frequency autocorrelation, and generating an estimated power distribution profile of the unprecoded channel based on the estimated frequency autocorrelation.

A method of channel estimation for a precoded channel includes generating an initial frequency autocorrelation of the precoded channel for a current bundle of a received data transmission, generating an expanded frequency autocorrelation based on the initial frequency autocorrelation of the precoded channel, providing the expanded frequency autocorrelation to a neural network, generating, by the neural network, an estimated frequency autocorrelation of an unprecoded channel based on the expanded frequency autocorrelation, and generating an estimated power distribution profile of the unprecoded channel based on the estimated frequency autocorrelation.

The invention described herein presents a system and method to overcome the distortions and affectations introduced by the highly variant channels of one or several antennas both in the transmitter and in the receiver. Unlike any existing invention that operates under the same conditions, this device uses a completely new reception technique based on the concept of virtual trajectories in which iterative calculations or solution of linear systems in operating time are not required, thus saving a considerable amount of operations. The receiver of this device manages to convert the fast variations of the channel into virtual antennas, thus achieving a considerable increase in the signal to noise-interference ratio. The resulting performance in terms of noise immunity is much better than any technique found so far and also requires a much smaller amount of calculations in the receiver.

Techniques and architectures for multi-stage cancellation of self-interference (SI) and joint cancellation of mutual-interference (MI) and residual SI in signals received by devices of a full-duplex multi-cell network are disclosed. In various examples, channel estimations and interference cancellation operations are performed utilizing multiple orthogonal training signals transmitted by network devices during a common over-the-air training period. Training signals derived from the orthogonal training signals during transmission are utilized to generate SI estimation information and perform at least a first SI cancellation operation on a received signal that includes at least first and second orthogonal training signals. The received signal and orthogonal training signals are then used to estimate a MI channel impulse response and a (residual) SI channel impulse response for use in joint MI/SI cancellation operations on further received signals. Details regarding the design of the orthogonal training signals and a unique system-level delay calibration procedure are also provided.

A determination is made that error-correcting code functionality detected a first number of erroneous bits within a memory device. Bits within the memory device are evaluated to identify a subset of the bits as candidate bits. The candidate bits are evaluated to determine whether the error-correcting code functionality returns a non-error state, where no error correction is performed, based upon one or more combinations of candidate bits being inverted. Responsive to the error-correcting code functionality returning the non-error state for only one combination of the one or more combinations of candidate bits being inverted, the one combination of candidate bits is corrected.

A modified orthogonal frequency-division multiplexing (OFDM) communication system based on virtual decomposition of the channel is proposed. The system is fully compatible with standard OFDM transmitters and maintains several blocks of standard OFDM receivers. The proposed approach achieves also incoherent reception of multicarrier signals even with a simple autocovariance DPSK detector. This novel system substantially surpasses the performance of current approaches while requiring low computational complexity. Two preferred embodiments are described; one with coherent reception using pilot signals, and the second with incoherent receiver of differentially encoded signals.

The embodiments herein use a factorization based technique for determining filter coefficients for a subset of the subcarriers in a wireless frequency band. Once the filter coefficients for the subset of the subcarriers are calculated, the network device uses these filter coefficients to identify the filter coefficients in a neighboring subcarrier. To do so, the network device uses pseudo-inverse iteration to convert the already calculated filter coefficients into filter coefficients for a neighboring subcarrier. The network device can repeat this process for the next set of neighboring subcarriers until all the filter coefficients have been calculated.

A baseband system includes: an estimation and compensation circuit estimating frequency-independent non-ideal effects based on an original IQ signal pair, and compensating the original IQ signal pair based on a result of the estimation to obtain a compensated IQ signal pair; a channel estimation and equalization circuit performing channel estimation and equalization based on the compensated IQ signal pair to obtain an equalized IQ signal pair; and a tracking and compensation circuit obtaining a result of tracking of residual quantities of the aforesaid non-ideal effects based on the equalized IQ signal pair, and compensating the equalized IQ signal pair based on the result of the tracking to obtain an output IQ signal pair.

A baseband system includes: an estimation and compensation circuit estimating frequency-independent non-ideal effects based on an original IQ signal pair, and compensating the original IQ signal pair based on a result of the estimation to obtain a compensated IQ signal pair; a channel estimation and equalization circuit performing channel estimation and equalization based on the compensated IQ signal pair to obtain an equalized IQ signal pair; and a tracking and compensation circuit obtaining a result of tracking of residual quantities of the aforesaid non-ideal effects based on the equalized IQ signal pair, and compensating the equalized IQ signal pair based on the result of the tracking to obtain an output IQ signal pair.

A determination is made that error-correcting code functionality detected a first number of erroneous bits within a memory device. Bits within the memory device are evaluated to identify a subset of the bits as candidate bits. The candidate bits are evaluated to determine whether the error-correcting code functionality returns a non-error state, where no error correction is performed, based upon one or more combinations of candidate bits being inverted. Responsive to the error-correcting code functionality returning the non-error state for only one combination of the one or more combinations of candidate bits being inverted, the one combination of candidate bits is corrected.