Apparatus and method for single antenna interference cancellation (SAIC) enhancement

    公开(公告)号:US10057094B2

    公开(公告)日:2018-08-21

    申请号:US15247535

    申请日:2016-08-25

    Abstract: An interference cancellation (IC) processor, a method, a method of manufacturing a semiconductor device, and a method of constructing an integrated circuit are provided. The IC processor includes a plurality of mono interference cancellation (MIC) filter estimation processors; a combined effective channel calculation processor; a combined filter calculation processor; and a combined filter processor, including a first input connected to the output of the combined filter calculation processor, a second input for receiving a signal for setting a length of the combined filter that is connected to a second input of the IC processor, a third input connected to the input of the MIC-BRC processor, and an output for providing a filtered output of a de-rotated GMSK signal that is connected to a second output of the IC processor that provides a filtered output yi of the de-rotated GMSK signal.

    Systems and methods for mitigating in-phase and quadrature mismatch

    公开(公告)号:US12136960B2

    公开(公告)日:2024-11-05

    申请号:US17871847

    申请日:2022-07-22

    Abstract: A method of optimizing at least one IQMC parameter value for an IQMC includes: generating a set of tested IQMC candidate parameter values by performing an iterative method including selecting a first IQMC candidate parameter value for the at least one parameter of the IQMC; determining, using the first IQMC candidate parameter value, a performance metric value that comprises at least one of (i) an image rejection ratio (IRR) value, (ii) a signal-to-interference-plus-noise ratio (SINR) value, or (iii) a signal-to-image ratio (SImR) value; and determining a second IQMC candidate parameter value that is an update to the first IQMC candidate parameter value. The method of optimizing at least one IQMC parameter value for an IQMC further includes determining an IQMC candidate parameter value of the set of tested IQMC candidate parameter values that optimizes the performance metric.

    Systems, methods, and apparatus for combined power control of multiple transmit paths

    公开(公告)号:US11812391B2

    公开(公告)日:2023-11-07

    申请号:US17982504

    申请日:2022-11-07

    CPC classification number: H04W52/24 H04W52/08

    Abstract: A method of controlling power in a transmission system may include determining a first transmit power of a first transmit path, determining a second transmit power of a second transmit path, and controlling the first transmit path and the second transmit path based on a combination of the first transmit power and the second transmit power. The combination of the first transmit power and the second transmit power may include a sum of the first transmit power and the second transmit power. Controlling the first transmit path and the second transmit path may include determining a first effective power target for the first transmit path based on the first transmit power and the second transmit power, and determining a second effective power target for the second transmit path based on the first transmit power and the second transmit power.

    Systems and methods for updating beamforming codebooks for angle-of-arrival estimation using compressive sensing in wireless communications

    公开(公告)号:US11804890B2

    公开(公告)日:2023-10-31

    申请号:US17538290

    申请日:2021-11-30

    CPC classification number: H04B7/086

    Abstract: A wireless communication device includes: a processing circuit configured to: receive, from an antenna array during a previous period, a first directional electromagnetic signal including beam sweeping reference symbols of a previous beam sweeping period; compute an estimated combined channel; estimate a dominant angle-of-arrival (AoA) of the first directional electromagnetic signal based on the estimated combined channel and a previous beamforming codebook including two or more beamforming vectors corresponding to different AoAs; construct an updated beamforming codebook based on the estimated dominant AoA and one or more remaining AoAs spaced apart from the estimated dominant AoA; receive, at the antenna array during a current period, a second directional electromagnetic signal including data symbols; determine a beamforming vector for data reception of the second directional electromagnetic signal based on the updated beamforming codebook; and detect the data symbols in the second directional electromagnetic signal based on the determined beamforming vector.

    Systems and methods for updating beamforming codebooks for angle-of-arrival estimation using compressive sensing in wireless communications

    公开(公告)号:US11616563B2

    公开(公告)日:2023-03-28

    申请号:US16983813

    申请日:2020-08-03

    Abstract: A wireless communication device includes: a processing circuit configured to: receive, from an antenna array during a previous period, a first directional electromagnetic signal including beam sweeping reference symbols of a previous beam sweeping period; compute an estimated combined channel; estimate a dominant angle-of-arrival (AoA) of the first directional electromagnetic signal based on the estimated combined channel and a previous beamforming codebook including two or more beamforming vectors corresponding to different AoAs; construct an updated beamforming codebook based on the estimated dominant AoA and one or more remaining AoAs spaced apart from the estimated dominant AoA; receive, at the antenna array during a current period, a second directional electromagnetic signal including data symbols; determine a beamforming vector for data reception of the second directional electromagnetic signal based on the updated beamforming codebook; and detect the data symbols in the second directional electromagnetic signal based on the determined beamforming vector.

    Angular sparse channel recovery using history measurements

    公开(公告)号:US11211994B2

    公开(公告)日:2021-12-28

    申请号:US16989653

    申请日:2020-08-10

    Abstract: Compressive sensing (CS) channel recovery using history measurements. Both current and history measurements for AoAs estimation, and only use current measurement for coefficient estimation. The dominant angle of arrival (AoA) is estimated using history and current measurements. In Approach 1, the dominant AoA is invariant and the coefficients are uncorrelated. In Approach 2, the dominant AoA is invariant and the coefficients are fully correlated. The remaining AoAs are estimated. The coefficients corresponding to each estimated dominant AoA are estimated. And the channel is recovered.

    Systems and methods for updating beamforming codebooks for angle-of-arrival estimation using compressive sensing in wireless communications

    公开(公告)号:US11196477B2

    公开(公告)日:2021-12-07

    申请号:US16983813

    申请日:2020-08-03

    Abstract: A wireless communication device includes: a processing circuit configured to: receive, from an antenna array during a previous period, a first directional electromagnetic signal including beam sweeping reference symbols of a previous beam sweeping period; compute an estimated combined channel; estimate a dominant angle-of-arrival (AoA) of the first directional electromagnetic signal based on the estimated combined channel and a previous beamforming codebook including two or more beamforming vectors corresponding to different AoAs; construct an updated beamforming codebook based on the estimated dominant AoA and one or more remaining AoAs spaced apart from the estimated dominant AoA; receive, at the antenna array during a current period, a second directional electromagnetic signal including data symbols; determine a beamforming vector for data reception of the second directional electromagnetic signal based on the updated beamforming codebook; and detect the data symbols in the second directional electromagnetic signal based on the determined beamforming vector.

    Low complexity algorithms for precoding matrix calculation

    公开(公告)号:US11190244B1

    公开(公告)日:2021-11-30

    申请号:US17031655

    申请日:2020-09-24

    Abstract: Low-complexity methods of calculating a precoding matrix for use in MIMO transmission. In some embodiments, a method of calculating a precoding matrix includes (i) calculating a first portion of a first singular value decomposition, based on a first portion of a channel matrix; (ii) calculating a second portion of a second singular value decomposition, based on a second portion of the channel matrix; (iii) calculating an intermediate matrix, based on: the first portion of the first singular value decomposition and the second portion of the second singular value decomposition; and (iv) calculating a matrix of approximate right singular vectors. The calculating of the matrix of approximate right singular vectors may include calculating a product of factors, the factors including a first factor based on the conjugate transpose of the intermediate matrix, a second factor based on a unitary matrix, and a third factor based on a diagonal matrix.

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