Channel frequency response reconstruction assisted time-of-arrival estimation method

    公开(公告)号:US11671793B2

    公开(公告)日:2023-06-06

    申请号:US17313473

    申请日:2021-05-06

    Inventor: Ziming He Fei Tong

    CPC classification number: H04W4/029 G01S5/10

    Abstract: The present disclosure describes systems and methods for time-of-arrival (TOA) estimation techniques. Some embodiments of the disclosure provide for estimating radio propagation path parameters based on a training signal received over a set of active frequencies. The radio propagation path parameters (e.g., fading coefficients for each path) are used to reconstruct a channel frequency response on null frequencies (e.g., frequencies that did not include or carry the received training signal). A time-of-arrival parameter can then be estimated based on the estimated channel frequency response and the reconstructed channel frequency response (e.g., the channel frequency response estimated using both active frequencies and null frequencies).

    RESIDUAL NEURAL NETWORK MODELS FOR DIGITAL PRE-DISTORTION OF RADIO FREQUENCY POWER AMPLIFIERS

    公开(公告)号:US20230111606A1

    公开(公告)日:2023-04-13

    申请号:US17805698

    申请日:2022-06-07

    Inventor: Ziming He Fei Tong

    Abstract: One or more aspects of the techniques and models described herein provide for bidirectional recurrent neural network (BiRNN)-based digital pre-distortion techniques for radio frequency (RF) power amplifiers (PAs). As an example, a digital pre-distorter (DPD) system may implement residual learning and long short-term memory (LSTM) projection layer features to reduce computational complexity and memory requirements. Implementing the described unconventional techniques of applying residual learning in RNN (e.g., in BiLSTM), using LSTM projection to develop a DPD structure, or both, may provide several advantages over preexisting techniques. For instance, the complexity in training and pre-distortion may be reduced and significantly less memory may be required to store the DPD neural network coefficients (e.g., while achieving similar or better linearization performance compared to other LSTM models). Further, faster training convergence speed may be achieved (e.g., compared to other LSTM models).

    LOW COMPLEXITY DIRECT-TO-LUT DIGITAL PRE-DISTORTION METHOD

    公开(公告)号:US20240348273A1

    公开(公告)日:2024-10-17

    申请号:US18422913

    申请日:2024-01-25

    Abstract: A distortion apparatus for a power amplifier comprises: pre-distortion circuitry that comprises a memory polynomial look-up-table (LUT) circuit; and post-distortion circuitry that updates the pre-distortion circuitry based on an output of the power amplifier. The pre-distortion circuitry comprises a plurality of LUTs. Each LUT corresponds to a different memory depth of a memory polynomial of a Volterra series. Each LUT indexed by an instantaneous power of an input sample delayed by an amount corresponds to a respective memory depth of each LUT. An output of the memory polynomial LUT circuit corresponds to a summation of an output of each LUT multiplied by the input sample delayed by the amount corresponding to the respective memory depth of each LUT, and an output of the pre-distortion circuitry is provided to the power amplifier.

    DETECTION OF SPOOFING OR JAMMING ATTACKS IN WIRELESS COMMUNICATION SYSTEM

    公开(公告)号:US20220191245A1

    公开(公告)日:2022-06-16

    申请号:US17455485

    申请日:2021-11-18

    Abstract: A method for detecting a modification, due to an interferer, of a wireless channel between a transmitting device and a receiving device. First and second samples of channel frequency response (CFR) of the wireless channel are measured within a time interval less than or equal to a pre-established static time interval throughout which the wireless channel is expected to exhibit a static characteristic in an environment without any interferer. An interferer is detected to have modified the wireless channel when a similarity condition reflecting a degree of similarity between the first and second CFR samples is not satisfied.

    CHANNEL FREQUENCY RESPONSE RECONSTRUCTION ASSISTED TIME-OF-ARRIVAL ESTIMATION METHOD

    公开(公告)号:US20220191646A1

    公开(公告)日:2022-06-16

    申请号:US17313473

    申请日:2021-05-06

    Inventor: Ziming He Fei Tong

    Abstract: The present disclosure describes systems and methods for time-of-arrival (TOA) estimation techniques. Some embodiments of the disclosure provide for estimating radio propagation path parameters based on a training signal received over a set of active frequencies. The radio propagation path parameters (e.g., fading coefficients for each path) are used to reconstruct a channel frequency response on null frequencies (e.g., frequencies that did not include or carry the received training signal). A time-of-arrival parameter can then be estimated based on the estimated channel frequency response and the reconstructed channel frequency response (e.g., the channel frequency response estimated using both active frequencies and null frequencies).

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