At least one crosstalk probing sequence out of a set of orthogonal crosstalk probing sequences is assigned to the at least one respective disturber line for modulation at the given carrier frequency of at least one respective sequence of crosstalk probing symbols, and error samples are successively measured by a receiver coupled to the victim line at the given carrier frequency while the at least one sequence of crosstalk probing symbols are being transmitted over the at least one respective disturber line are fed back for crosstalk estimation. The received error samples are next correlated with at least one unassigned crosstalk probing sequence out of the set of orthogonal crosstalk probing sequences for detection of a demapping error in the received error samples.

A device, method or system implements operations to receive compressed samples of wireless transmissions from a plurality of user equipment (UEs) traveling through different communication regions in a wireless network, and detect information in the wireless transmissions of the UEs based on the compressed samples.

A method for detecting aggressive signal transmission signatures in a wireless communication network is provided. The network includes at least one station, at least one access point, and at least one non-cooperative transmission source. The method includes steps of generating a matrix of each instance of request-to-send (RTS) messages received by the access point during a specified observation cycle, recording, in a memory of the access point, a number of cumulative RTS messages received from the station, calculating a cumulative distribution function (CDF), based on the recorded RTS message instances in the memory, for a probability of the presence of an aggressive transmission signal by the non-cooperative transmission source within a transmission range of the access point, and determining the presence of the aggressive transmission signal based on the calculated CDF being greater than a predetermined threshold.

The present disclosure relates to a method and related mobile device for estimating a channel by choosing a subset of correlated channel coefficients and estimating the reference signal received power of the subset of correlated channel coefficients based on a cross-correlation between channel coefficients of the subset of correlated channel coefficients.

A parametric generating method for a zero correlation zone sequence set, includes: determining a ZCZ sequence set to be generated; determining a limited symbol set; determining an initial non-periodic orthogonal complementary sequence set; constructing a discrete Fourier transformation matrix by using elements in the limited symbol set; constructing a coefficient matrix based on the number of sequences and the number of iterations in the sequence set; using the columns of the coefficient matrix respectively as the coefficients of each sequence in the ZCZ sequence set, iteratively generating ZCZ sequence sets by using a method of zero filling the tails of weighting coefficients; and traversing the coefficient matrix, and selecting a ZCZ sequence set meeting the criteria or an optimal ZCZ sequence set according to requirements.

There are disclosed techniques (e.g., apparatus, methods) for estimating an impulse response of a linear system.

An apparatus is configured to generate a transmit signal on the basis of a first sequence. The apparatus is configured to obtain a receive signal and to multiply the receive signal with a second sequence, to obtain a modified receive signal, wherein the second sequence is different from the first sequence. The apparatus is configured to analog-to-digital, ADC, convert an integration result in order to obtain a sample value, the integration result being based on an integration of the modified receive signal over a period of time. The apparatus is configured to obtain an estimate of the impulse response on the basis of a plurality of sample values.

This application discloses a channel estimation method and apparatus. When time-domain channel estimation is performed on a first slot, the first slot and at least one second slot are first determined. The first slot and each second slot form continuous slots. Then, a first signal corresponding to the first slot and a second signal corresponding to each second slot are obtained, and a time-domain channel estimate for the first slot is determined based on the first signal and each second signal. In embodiments of this application, when a time-domain channel estimate for a specific slot is determined, time-domain channel estimation is performed by using time-domain correlation of channels in combination with signals of a plurality of slots, so as to obtain a more accurate channel estimation result, thereby improving baseband demodulation performance.

A method and apparatus for channel estimation for a three-phase communication system. In one embodiment, the method comprises generating a first plurality of preamble patterns for use in a first data stream of two independent data streams; generating a second plurality of preamble patterns for use in a second data stream of the two independent data streams; transmitting the first and the second data streams via a communications channel comprising a three-wire three-phase system; receiving a version of the first data stream comprising the first plurality of preamble patterns and a version of the second data stream comprising the second plurality of preamble patterns; and generating, based on the received version of the first plurality of preamble patterns and the received version of the second plurality of preamble patterns, a channel estimation matrix for estimating the imbalance of the communications channel.

A time-frequency block-sparse channel estimation method based on compressed sensing includes the following steps. Step 1: A channel model is established. Step 2: According to the channel model obtained in Step 1, a sparse signal estimation value is solved by a compressed sensing method to further calculate an index set. Step 3: According to the index set obtained in Step 2, a channel matrix estimation value is solved. The method provides a generalized block adaptive gBAMP algorithm, which uses time-frequency joint block sparsity of a massive MIMO system to further optimize selection of an index set in an algorithm iteration process to improve stability of the algorithm. Then, without a specified threshold parameter, based on an F norm, an adaptive iteration stop condition is determined based on a residual, and the validity of the method is proved.

A method for estimating a wireless communication channel between a transmitter and a receiver, including a plurality of paths for propagation of a wave, at least one of the transmitter and the receiver being formed of a plurality of antennas. The method includes: for at least one path, determining a characteristic matrix, which depends on a first element representative of at least one propagation direction associated with the path, and a second element representative of a propagation distance associated with the path; and estimating the communication channel from the at least one obtained characteristic matrix.