Aspects described herein relate to sending, from a distributed unit (DU), a control signal that is transparent to communications on an uplink data channel and a random access channel, receiving, at the DU, a signal from a radio unit (RU) over resources for the random access channel, and decoding a random access communication from the signal at least in part by applying a phase compensation to the signal.

A system for detecting a moving object is provided. The system comprises a detector module having a first antenna and a second antenna separated by a baseline distance. The system also comprises a processing module configured to receive a first signal and a second signal from the first receiving antenna and the second receiving antenna, respectively. The processing module is further configured to determine a delay rate spectrum followed by a 2D FFT for the first signal and the second signal based on a cross-correlation function and an observation time period. The delay rate spectrum is then used to detect the moving object and determine its location in terms of latitude and longitude coordinates.

Disclosed herein are systems, methods, and computer-readable storage media for enabling improved cancellation of self-interference in full-duplex communications, or the transmitting and receiving of communications in a single frequency band without requiring time, frequency, or code divisions. The system estimates the signal strength and phase of a self-interference signal, generates a cancellation signal based on this estimate, then uses the cancellation signal to suppress the self-interference before sampling received analog signal. After applying the cancellation signal, the system samples and digitizes the remaining analog signal. The digitized signal is then subjected to additional digital cancellation, allowing for extraction of the desired signal.

Disclosed are a signal processing method and a signal processing circuit for suppressing Co-Channel Interference (CCI). By using the signal processing method and the signal processing circuit provided by the instant disclosure, determining whether each subcarrier is affected by CCI will be more precise because the non-data subcarrier and the data subcarrier are both processed. Moreover, in the instant disclosure, the results to determine whether the subcarriers are affected by CCI are recorded as an N×K error matrix, and thus the receiver may detect the static interference and the dynamic interference according to this N×K error matrix.

Processes and device configurations are provided for extracting observables from communications signals. Methods include performing a frequency extraction on received communication signals to determine a carrier frequency, acquiring an estimation of channel frequency response and a frame start time. Signal tracking is performed to update frame start time of a signal physical broadcast channel block structure (SS/PBCH) in the communication signal, and at least one observable is extracted from the communications signal based on the updated estimate of frame start time. Characteristics of communications signal, such as frame structure including a synchronization signal physical broadcast channel block structure (SS/PBCH) may be used to opportunistically extract time of arrival (TOA) from communications signals. Symbols and subcarriers of new radio signals may be used to extract reference signals, and to determine one or more navigation observables based on communication signal.

An apparatus for calculating a reception time of a wireless communication signal is disclosed. The apparatus includes a downconverted signal generator configured to generate a downconverted signal, a baseband signal, by downconverting a frequency of a signal received from a transmission source, a modulated signal generator configured to generate a modulated signal by multiplying the downconverted signal by a randomly generated reference signal, a time difference calculator configured to calculate a time difference between the modulated signal and the reference signal by cross-correlating the modulated signal and the reference signal, and a reception time calculator configured to calculate a reception time of the signal received from the transmission source using a point in time at which the reference signal is generated and the time difference between the modulated signal and the reference signal.

A signal detection unit detects, from a baseband signal of a received radio wave, two types of fixed signal sections that have different communication information and are present in sufficiently shorter time than a time period in which influence of fading fluctuates, and designate the detected two types of fixed signal sections as an information-1 section and an information-2 section. An information-1 section signal processing unit clips the information-1 section from the baseband signal, and performs Fourier transform on the clipped information-1 section. An information-2 section signal processing unit clips the information-2 section from the baseband signal, and performs Fourier transform on the clipped information-2 section. A feature value computation unit computes a feature value, based on an output of the information-1 section signal processing unit and an output of the information-2 section signal processing unit.

There may be provided a method for priory based transmission of skywave symbols, the method may include starting to transmit a first skywave symbol; determining to stop a transmission of the first skywave symbol and to transmit a second skywave symbol that has a higher priority than the first skywave symbol; stopping the transmission of first skywave symbol before a completion of the transmission of the first skywave symbol thereby transmitting a partial first skywave symbol; and transmitting the second skywave symbol.

Described herein are technologies related to an implementation of a closed-loop system to measure and compensate non-linearity in a transceiver circuitry of a device.

The present invention discloses an ML (Maximum Likelihood) detector comprising: a search value selecting circuit selecting a first-layer search value; and an ML detecting circuit. The ML detecting circuit executes the following steps: selecting K first-layer candidate values according to the first-layer search value, one of a reception signal and a derivative thereof, and one of a channel estimation signal and a derivative thereof; calculating K second-layer candidate values according to the K first-layer candidate values; determining whether to add P second-layer supplemental candidate value(s) and generating a decision; when the decision is affirmative, adding the P second-layer supplemental candidate values, generating P first-layer supplemental candidate values according to the P second-layer supplemental candidate values, and calculating log likelihood ratios (LLRs) according to the (K+P) first-layer and (K+P) second-layer candidate values; and when the decision is negative, calculating LLRs according to the K first-layer and K second-layer candidate values.