WIRELESS DEVICES AND SYSTEMS INCLUDING EXAMPLES OF MISMATCH CORRECTION SCHEME

    公开(公告)号:US20220014217A1

    公开(公告)日:2022-01-13

    申请号:US17484410

    申请日:2021-09-24

    Abstract: Systems, methods, and apparatuses for wireless communication are described. Input data for in-phase branch/quadrature branch (I/Q) imbalance or mismatch may be compensated for or non-linear power amplifier noise may be used to generate compensated input data. In some examples, a transmitter may be configured to transmit communications signaling via a first antenna, the transmitter including a filter configured for digital mismatch correction; a receiver may be configured to receive communications signaling via a second antenna; and a switch may be configured to selectively activate a first switch path to couple the transmitter and the first antenna and a second switch path to couple the receiver and the transmitter to provide communications signaling received via the transmitter as feedback for the filter through the receiver.

    WIRELESS DEVICES AND SYSTEMS INCLUDING EXAMPLES OF MIXING INPUT DATA WITH COEFFICIENT DATA

    公开(公告)号:US20210367822A1

    公开(公告)日:2021-11-25

    申请号:US17394597

    申请日:2021-08-05

    Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data with coefficient data. For example, a computing system with processing units may mix the input data for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to the wireless protocol in the RF wireless domain. A computing device may be trained to generate coefficient data based on the operations of a wireless transceiver such that mixing input data using the coefficient data generates an approximation of the output data, as if it were processed by the wireless transceiver. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.

    WIRELESS DEVICES AND SYSTEMS INCLUDING EXAMPLES OF MIXING COEFFICIENT DATA SPECIFIC TO A PROCESSING MODE SELECTION

    公开(公告)号:US20200044905A1

    公开(公告)日:2020-02-06

    申请号:US16594503

    申请日:2019-10-07

    Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data with coefficient data specific to a processing mode selection. For example, a computing system with processing units may mix the input data for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to a specific processing mode selection. The processing mode selection may include a single processing mode, a multi-processing mode, or a full processing mode. The processing mode selection may be associated with an aspect of a wireless protocol. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.

    WIRELESS DEVICES AND SYSTEMS INCLUDING EXAMPLES OF CONFIGURATION DURING AN ACTIVE TIME PERIOD

    公开(公告)号:US20190166000A1

    公开(公告)日:2019-05-30

    申请号:US16116849

    申请日:2018-08-29

    Abstract: Examples described herein include methods, devices, and systems which may implement different processing stages for wireless communication in processing units. Such data processing may include a source data processing stage, a baseband processing stage, a digital front-end processing stage, and a radio frequency (RF) processing stage. Data may be received from a sensor of device and then processed in the stages to generate output data for transmission. Processing the data in the various stages may occur during an active time period of a discontinuous operating mode. During the active time period, a reconfigurable hardware platform may allocate all or a portion of the processing units to implement the processing stages. Examples of systems and methods described herein may facilitate the processing of data for 5G (e.g., New Radio (NR)) wireless communications in a power-efficient and time-efficient manner.

    AUTOCORRELATION AND MEMORY ALLOCATION FOR WIRELESS COMMUNICATION

    公开(公告)号:US20220060226A1

    公开(公告)日:2022-02-24

    申请号:US17453914

    申请日:2021-11-08

    Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of an autocorrelation calculator. An electronic device including an autocorrelation calculator may be configured to calculate an autocorrelation matrix including an autocorrelation of symbols indicative of a first narrowband Internet of Things (IoT) transmission and a second narrowband IoT transmission. The electronic device may calculate the autocorrelation matrix based on a stored autocorrelation matrix and the autocorrelation of symbols indicative of the first narrowband IoT transmission and symbols indicative of the second narrowband IoT transmission. The stored autocorrelation matrix may represent another received signal at a different time period than a time period of the first and second narrowband IoT transmission. Examples of the systems and methods may facilitate the processing of data for wireless and may utilize less memory space than a device than a scheme that stores and calculates autocorrelation from a large dataset computed from various time points.

    WIRELESS DEVICES AND SYSTEMS INCLUDING EXAMPLES OF CROSS CORRELATING WIRELESS TRANSMISSIONS

    公开(公告)号:US20210058227A1

    公开(公告)日:2021-02-25

    申请号:US17090123

    申请日:2020-11-05

    Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of cross correlation including symbols indicative of radio frequency (RF) energy. An electronic device including a statistic calculator may be configured to calculate a statistic including the cross-correlation of the symbols. The electronic device may include a comparator configured to provide a signal indicative of a presence or absence of a wireless communication signal in the particular portion of the wireless spectrum based on a comparison of the statistic with a threshold. A decoder/precoder may be configured to receive the signal indicative of the presence or absence of the wireless communication signal and to decode the symbols responsive to a signal indicative of the presence of the wireless communication signal. Examples of systems and methods described herein may facilitate the processing of data for wireless communications in a power-efficient and time-efficient manner.

    APPARATUSES AND METHODS FOR ADAPTIVE SPATIAL DIVERSITY IN A MIMO-BASED SYSTEM

    公开(公告)号:US20200280348A1

    公开(公告)日:2020-09-03

    申请号:US16678753

    申请日:2019-11-08

    Abstract: Examples described herein include apparatuses and methods to perform adaptive spatial diversity in a MIMO system. An example apparatus may include a plurality of receiving antennas and a wireless receiver configured to receive a respective plurality of receive signals each from a respective receiving antenna of the plurality of receiving antennas. The wireless signal may be further configured to apply a corresponding weight to each of the plurality of signals to provide a plurality of weighted signals and to apply an eigenfilter to the plurality of weighted signals provide a transfer function. The wireless receiver further configured to perform a fast Fourier transform (FFT) on the transfer function to provide output signals in the frequency domain.

    NEURON CALCULATOR FOR ARTIFICIAL NEURAL NETWORKS

    公开(公告)号:US20200177244A1

    公开(公告)日:2020-06-04

    申请号:US16786637

    申请日:2020-02-10

    Abstract: Examples described herein include systems and methods, including wireless devices and systems with neuron calculators that may perform one or more functionalities of a wireless transceiver. The neuron calculator calculates output signals that may be implemented, for example, using accumulation units that sum the multiplicative processing results of ordered sets from ordered neurons with connection weights for each connection between an ordered neuron and outputs of the neuron calculator. The ordered sets may be a combination of some input signals, with the number of signals determined by an order of the neuron. Accordingly, a kth-order neuron may include an ordered set comprising product values of k input signals, where the input signals are selected from a set of k-combinations with repetition. As an example in a wireless transceiver, the neuron calculator may perform channel estimation as a channel estimation processing component of the receiver portion of a wireless transceiver.

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