WIRELESS DEVICES AND SYSTEMS INCLUDING EXAMPLES OF CROSS CORRELATING WIRELESS TRANSMISSIONS

    公开(公告)号:US20180167194A1

    公开(公告)日:2018-06-14

    申请号:US15374831

    申请日:2016-12-09

    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.

    WIRELESS DEVICES AND SYSTEMS INCLUDING EXAMPLES OF CROSS CORRELATING WIRELESS TRANSMISSIONS

    公开(公告)号:US20240178987A1

    公开(公告)日:2024-05-30

    申请号:US18436965

    申请日:2024-02-08

    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.

    Neuron calculator for artificial neural networks

    公开(公告)号:US11870513B2

    公开(公告)日:2024-01-09

    申请号:US17362672

    申请日:2021-06-29

    CPC classification number: H04B7/0413 G06N3/04 G06N3/08

    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.

    MEASURING CHANGE IN A CHANNEL CHARACTERISTIC TO DETECT MEMORY DEVICE ATTACK

    公开(公告)号:US20230063890A1

    公开(公告)日:2023-03-02

    申请号:US17459543

    申请日:2021-08-27

    Abstract: Methods, systems, and devices for measuring change in a channel characteristic to detect a memory device attack are described. A system, such as a vehicle system, may include a host device coupled with a memory device. The host device may transmit a first signal to the memory device and may receive, from the memory device, a second signal as feedback based on the first signal. The host device may determine a channel characteristic, such as a channel impedance measurement, based on the second signal received from the memory device. If the determined channel characteristic fails to satisfy a threshold (e.g., if the measured channel impedance fails to satisfy a reference value within a tolerance range), the host device may detect a potential attack on the memory device and may take corrective action, such as disabling one or more features of the memory device.

    System for optimizing routing of communication between devices and resource reallocation in a network

    公开(公告)号:US11316561B2

    公开(公告)日:2022-04-26

    申请号:US16671111

    申请日:2019-10-31

    Inventor: Jeremy Chritz

    Abstract: Methods, systems, and devices for signal processing and wireless communication are described. For example, a device may include a plurality of antennas operable to transmit and receive communication packets via a plurality of communication protocols and an integrated circuit chip coupled to the plurality of antennas. The integrated circuit chip may comprise a first and a second plurality of processing elements. The first plurality of processing elements may be operable to receive communication packets via a first one of a plurality of communication protocols and process an optimal route. The second plurality of processing elements may be communicatively coupled to the first plurality of processing elements and operable to determine the optimal route to transmit the communication packets from a source device to a destination device based, at least in part, on transmission characteristics associated with at least one of the source or destination devices.

    Self interference noise cancellation to support multiple frequency bands

    公开(公告)号:US11206050B2

    公开(公告)日:2021-12-21

    申请号:US15890275

    申请日:2018-02-06

    Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of full duplex compensation with a self-interference noise calculator that compensates for the self-interference noise generated by power amplifiers at harmonic frequencies of a respective wireless receiver. The self-interference noise calculator may be coupled to antennas of a wireless device and configured to generate the adjusted signals that compensate self-interference. The self-interference noise calculator may include a network of processing elements configured to combine transmission signals into sets of intermediate results. Each set of intermediate results may be summed in the self-interference noise calculator to generate a corresponding adjusted signal. The adjusted signal is receivable by a corresponding wireless receiver to compensate for the self-interference noise generated by a wireless transmitter transmitting on the same or different frequency band as the wireless receiver is receiving.

    Autocorrelation and memory allocation for wireless communication

    公开(公告)号:US11201646B2

    公开(公告)日:2021-12-14

    申请号:US16844178

    申请日:2020-04-09

    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 radio frequency (“RF”) signal and a second RF signal. The electronic device may calculate the autocorrelation matrix based on a stored autocorrelation matrix and the autocorrelation of symbols indicative of the first RF signal and symbols indicative of the second RF signal. The stored autocorrelation matrix may represent another received signal at a different time period than a time period of the first and second RF signals. 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.

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