Technology to generation of linear feedback shift register based PRN spreading code sequence using a processor device in a computing system is disclosed. A system is provided for generating a GNSS code sequence in a computer system, the system comprising one or more logic circuits configured to at least: receive a plurality of waveform generation parameters; select between a short pseudo-random noise (PRN) cycle and a long PRN cycle according to at least one of the plurality of waveform generation parameters; and emulate a plurality of linear feedback shift registers (LFSR) for generating a block of PRN code chips.

Technology to generation of linear feedback shift register based PRN spreading code sequence using a processor device in a computing system is disclosed. A system is provided for generating a GNSS code sequence in a computer system, the system comprising one or more logic circuits configured to at least: receive a plurality of waveform generation parameters; select between a short pseudo-random noise (PRN) cycle and a long PRN cycle according to at least one of the plurality of waveform generation parameters; and emulate a plurality of linear feedback shift registers (LFSR) for generating a block of PRN code chips.

A method and system for compensating for a doubly selective channel, and a related apparatus are applied to the field of communications technologies. In embodiments of the present invention, a receive end obtains, based on a minimum mean square error between a transmit pilot sequence and a receive pilot sequence, an optimal parameter used in a process of channel compensation and signal modulation, that is, a modulation order and a channel compensation parameter such as a channel compensation matrix. Therefore, according to the embodiments of the present invention, an optimization method is used to apply a banded equalization channel compensation method and a partial FFT transform to a communications system, thereby improving system performance.

The subject matter described herein includes a method for simplified computation of metrics of cross-correlations of binary codes and for using the metrics for signal processing applications. The method includes computing an outer product matrix based on a first code vector. The method further includes computing an outer product matrix based on at least one second code vector. The method further includes computing a metric of cross-correlations between the first code and the at least one second code vector using the outer product matrices. The method further includes using the metric to perform a signal processing operation.

A signal processing method is provided. The signal processing method includes receiving, at a signal processing system, a signal of interest, calculating, using the signal processing system, a power spectral density for the signal of interest, calculating, using the signal processing system, a basis vector based on the power spectral density shape, performing, using the signal processing system, a linear regression using the basis vector to generate an estimate for at least one parameter of the signal of interest, and transmitting, based on the at least one generated estimate, a signal that avoids interference with the signal of interest.

A signal processing method is provided. The signal processing method includes receiving, at a signal processing system, a signal of interest, calculating, using the signal processing system, a power spectral density for the signal of interest, calculating, using the signal processing system, a basis vector based on the power spectral density shape, performing, using the signal processing system, a linear regression using the basis vector to generate an estimate for at least one parameter of the signal of interest, and transmitting, based on the at least one generated estimate, a signal that avoids interference with the signal of interest.

A receiver includes a first finger that receives a non-interference-cancelled signal and output first demodulated data, a first phase estimate, and a first PN code. The receiver also includes a second finger that selectively receives the non-interference-cancelled signal and a first interference-cancelled signal generated from the non-interference-cancelled signal based on the first phase estimate and the first PN code. The second finger also outputs second demodulated data.

A receiver includes a first finger that receives a non-interference-cancelled signal and output first demodulated data, a first phase estimate, and a first PN code. The receiver also includes a second finger that selectively receives the non-interference-cancelled signal and a first interference-cancelled signal generated from the non-interference-cancelled signal based on the first phase estimate and the first PN code. The second finger also outputs second demodulated data.

In one embodiment, a method for blindly detecting low density activity includes receiving, by a first node from a second node, a signal and executing a joint message passing algorithm (JMPA) on the signal, where executing the JMPA includes jointly producing a decoded signal and an activity list in accordance with the decoded signal, and calculating a plurality of a priori probabilities in accordance with a plurality of log likelihood ratios (LLRs) corresponding to the signal and a plurality of decoded LLRs.

Block-encoded transmissions of a multi-antenna terminal unit are effectively detected in the presence of co-channel interfering transmissions when the base station has a plurality of antennas, and interference cancellation is combined with maximum likelihood decoding. More specifically, the signals received at the base station antennas are combined in a linear combination that relates to the channel coefficients between the various transmitting terminal units and the base antennas. By selecting proper coefficients for the linear combination and choosing probable transmitted signals that minimize a minimum mean squared error function, the signals of the various terminal units are canceled when detecting the signal of a particular unit. In another embodiment of the invention, the basic approach is used to obtain an initial estimate of the signals transmitted by one terminal unit, and the contribution of those signals is removed from the received signals prior to detecting the signals of other terminal units.