Devices and methods for decoding a symbol transmitted over a millimeter wave (mmWave) channel. Receiving a test symbol transmitted over the mmWave channel. Estimating channel state information (CSI) of the mmWave channel using a block sparse signal recovery on the test symbol, according to a multi-dimensional spreading model with statistics on multi-dimensional paths. The multi-dimensional spreading model with statistics on multi-dimensional paths include an angle of departure (AoD), angle of arrival (AoA), and a path spread for the AoD and a path spread for the AoA, propagating in the mmWave channel. Receiving a symbol over the mmWave channel, and decoding the symbol using the CSI, wherein steps of the method are performed by a processor of a receiver.

Methods, apparatuses, and systems to enable a channel estimation of more than one channel for Multi-Input Multi-Output (MIMO) communications in a wireless network is provided. The method includes determining a first set of complex numbers comprising first channel estimation signal associated with a first channel, determining a second set of complex numbers comprising second channel estimation signal associated with a second channel, and transmitting the first set of complex numbers and the second set of complex numbers via a physical layer (PHY) frame, wherein the second set of complex numbers are complex conjugates of the first set of complex numbers.

A carrier frequency offset (CFO) tracking circuit includes: a CFO estimation circuit, generating an estimated CFO signal; a loop filter, coupled to the CFO estimation circuit, performing a loop filter operation on the estimated CFO signal according to an initial value to generate a loop filtered result; and an averaging circuit, coupled to the CFO estimation circuit and the loop filter, performing an average operation on the estimated CFO signal to generate the initial value as an average of the estimated CFO signal.

According to some embodiments, a method performed by a network node comprises receiving a plurality of radio signal samples; estimating parameters for a first hypothesis function, the first hypothesis function hypothesizing that that the plurality of radio signal samples only contains background noise; estimating parameters for a second hypothesis function, the second hypothesis function hypothesizing that that the plurality of radio signal samples contains background noise plus one or more radio pulses; performing a log-likelihood ratio test for the first hypothesis function and the second hypothesis function; and based on the log-likelihood ratio test, determining whether a radio pulse is present in the plurality of radio signal samples.

In various embodiments, techniques are provided to determine channel characteristics of various communication systems such as OFDM systems or systems using a plurality of transmit antennas by using various sets of training symbols that produce zero cross-correlation energy. Channel communication can accordingly be simplified as the zero cross-correlation property allows for channel estimation without a matrix inversion.

A device and method for performing channel estimation, including in a first iteration of channel estimation, determining a channel estimate based on at least a first pilot symbol of a reference signal received at the device; and in each respective iteration of one or more ensuing iterations determining a reference channel estimate based on at least one subsequent pilot symbol of the reference signal; decoding a data signal received at the device based on the reference channel estimate; determining a data channel estimate based on at least one data symbol from the decoded data signal; and calculating a channel estimate for the respective iteration based on the reference channel estimate, the data channel estimate, and a channel estimate from a previous iteration.

A channel estimation technique suitable for implementation at a digital communication receiver such as an optical signal receiver apparatus includes receiving, over a communication channel, a transmission comprising a sequence of modulated symbols, estimating, at multiple frequencies, estimated values of a channel transfer function of the communication channel and selectively revising the estimated values of channel transfer function by reducing glitches in the estimated values of the channel transfer function.

Implementations described herein are directed to satellite transmitters and receivers for applying OFDM-like signaling in broadband satellite transmissions. In such systems, one or more data signals may be shaped and composited into a composite data signal at an OFDM-like transmitter for transmission over a satellite channel. The data signals that are carried over the satellite channel by the composited signal may have their own carrier, and each signal may carry multiple OFDM subcarriers. Further implementations are directed to correcting for distortion in satellite communications systems that utilize OFDM-like signaling. This distortion correction may account for the linear and nonlinear distortion introduced by the high power amplifier of a satellite receiving a composite signal, the linear and nonlinear distortion caused by the interaction of the signals in the composite, the linear and nonlinear distortion caused by the interaction between OFDM subcarriers, and/or the linear and nonlinear distortion caused by inter-carrier interference.

A method and apparatus are provided. The method includes receiving, by a user equipment (UE), a first signal from a transceiver, determining one of a probability and a soft mean with a soft variance associated with the detected data symbol, determining a first coefficient and a second coefficient based on the determined one of the probability and the soft mean with the soft variance associated with the detected data symbol, determining channel state information (CSI) on a channel between the transceiver and the UE based on a second signal received by the UE from the transceiver, a previous CSI, the first coefficient and the second coefficient, and tracking the communication channel based on the determined CSI.

A method and terminal for performing beamforming. The beamforming method of a terminal includes acquiring a beamforming signal, calculating a beamforming coefficient to correspond to locations of a transmitter and a receiver, based on the beamforming signal, acquiring sensor information of the terminal, estimating a channel parameter based on the sensor information, and determining a final beamforming coefficient based on the beamforming coefficient and the channel parameter.