RADAR INTERFERENCE MITIGATION AND TARGET RADAR DATA GAP FILLING

    公开(公告)号:US20250093489A1

    公开(公告)日:2025-03-20

    申请号:US18370697

    申请日:2023-09-20

    Applicant: NXP B.V.

    Abstract: A radar interference mitigation method includes producing a plurality of frequency data sets from digitized samples generated from a received radar signal. Each frequency data set of the plurality of frequency data sets is associated with one received chirp reflection of a plurality of radar chirp reflections in the received radar signal. The method also includes determining a threshold based on magnitudes of samples across the plurality of frequency data sets. The method further includes suppressing samples in the plurality of frequency data sets that exceed the threshold to produce a plurality of modified frequency data sets. The range of one or more targets is computed based on the plurality of modified frequency data sets.

    EGO VELOCITY ASSISTED DIRECTION OF ARRIVAL ESTIMATOR FOR RADAR SYSTEMS

    公开(公告)号:US20250020790A1

    公开(公告)日:2025-01-16

    申请号:US18349243

    申请日:2023-07-10

    Applicant: NXP B.V.

    Abstract: A radar system includes a processor and a non-transitory computer-readable medium storing machine instructions. The processor obtains an ego velocity Vego of a radar system, a range R of an object in an environment of the radar system, and a radial velocity Vr of the object. The processor determines a simplified two-dimensional (2D) angular search grid and performs a grid-based direction-of-arrival algorithm using the simplified 2D angular search grid. In some implementations, the processor determines a ring of possible positions for a stationary object based on the ego velocity Vego, the range R, and the radial velocity Vr, and includes the ring of possible positions in the simplified 2D angular search grid. In some implementations, the processor determines an arc of possible positions for a moving object based on the range R, and includes the arc of possible positions in the simplified 2D angular search grid.

    Radar-based detection using angle of arrival estimation based on sparse array processing

    公开(公告)号:US11927664B2

    公开(公告)日:2024-03-12

    申请号:US17185115

    申请日:2021-02-25

    Applicant: NXP B.V.

    CPC classification number: G01S13/04 G01S7/41 G01S2013/0245

    Abstract: In one example, a radar circuit uses computer processing circuitry for processing data corresponding to reflection signals via a sparse array. Output data indicative of signal magnitude associated with the reflection signals is generated, and then angle-of-arrival information is discerned therefrom by (e.g., iteratively): correlating the output data with at least one spatial frequency support vector indicative of a correlation peak for the output data; generating upper-side and lower-side support vectors which are neighbors along the spatial frequency spectrum for said at least one spatial frequency support vector, and providing, via a correlation of the upper-side and lower-side support vectors and said at least one spatial frequency support vector, at least one new vector that is more refined along the spatial frequency spectrum for said at least one spatial frequency support vector.

    RADAR COMMUNICATION WITH INTERFERENCE SUPPRESSION

    公开(公告)号:US20230393236A1

    公开(公告)日:2023-12-07

    申请号:US18453931

    申请日:2023-08-22

    Applicant: NXP B.V.

    CPC classification number: G01S7/354 G01S7/356

    Abstract: Aspects of the present disclosure relate to a radar system and method of operation thereof, whereby a spectrogram is generated by processing circuitry of a radar system by converting samples, of reflections of transmitted radar signals reflected by an object in an environment of the radar system, into a time-frequency domain, determining at least one threshold based on at least one MIN-of-MAX value for magnitudes of a frequency signal of the spectrogram, generating an interference-suppressed spectrogram by removing or attenuating interference components from the spectrogram based on the at least one threshold, and generating interference-suppressed samples based on the interference-suppressed spectrogram.

    RADAR-BASED DETECTION USING SPARSE ARRAY PROCESSING

    公开(公告)号:US20220268884A1

    公开(公告)日:2022-08-25

    申请号:US17185040

    申请日:2021-02-25

    Applicant: NXP B.V.

    Abstract: Exemplary aspects are directed to a radar-based detection circuit or system with signal reception circuitry to receive reflection signals in response to radar signals transmitted towards objects. The system may include logic/computer circuitry and a multi-input multi-output (MIMO) virtual array to enhance resolution or remove ambiguities otherwise present in processed reflection signals. The MIMO array may include sparse linear arrays, each being associated with a unique antenna-element spacing from among a set of unique co-prime antenna-element spacings.

    RADAR DETECTION USING ANGLE OF ARRIVAL ESTIMATION BASED ON SCALING PARAMETER WITH PRUNED SPARSE LEARNING OF SUPPORT VECTOR

    公开(公告)号:US20220268883A1

    公开(公告)日:2022-08-25

    申请号:US17185162

    申请日:2021-02-25

    Applicant: NXP B.V.

    Abstract: In various examples, a radar system includes a logic circuit with an array for processing radar reflection signals. In a specific example, a method includes generating output data indicative of the reflection signals' amplitudes, and discerning angle-of-arrival information for the output data for the output data by correlating the output data with an iteratively-refined estimate of a sparse spectrum support vector (“support vector”). The approach may include: assessing at least one most probable spectrum support vector from among a plurality of most probable spectrum support vectors modeled as random values in a matrix drawn from a long-tail distribution that is controlled as a function of a scaling parameter; and update a set of parameters including a covariance estimate, the scaling parameter, and a noise variance parameter which is being associated with a measurement error for said at least one most probable spectrum support vector from a previous iteration.

    Super-Resolution MIMO Sparse Array Automotive Radar Based on Forward and Backward Hankel Matrix Completion

    公开(公告)号:US20240168148A1

    公开(公告)日:2024-05-23

    申请号:US17990681

    申请日:2022-11-19

    Applicant: NXP B.V.

    CPC classification number: G01S13/42 G01S7/42 H04B7/0413

    Abstract: A distributed aperture radar system, apparatus, architecture, and method are provided for generating a completed virtual array aperture by using a radar control processing unit to construct a sparse forward-backward matrix from one or more sparse measurement array vectors and to generate beamforming outputs of a completed virtual array aperture by performing forward-backward matrix completion processing of the sparse forward-backward matrix to construct a completed forward-backward matrix by filling holes in the sparse MIMO virtual array aperture to suppress spurious sidelobes caused by holes in the sparse forward-backward matrix, thereby enabling computation of one or more super resolution direction of arrival (DoA) estimation values based on the completed forward-backward matrix.

    DIRECTION OF ARRIVAL (DOA) ESTIMATION USING CIRCULAR CONVOLUTIONAL NETWORK

    公开(公告)号:US20230305111A1

    公开(公告)日:2023-09-28

    申请号:US17702695

    申请日:2022-03-23

    Applicant: NXP B.V.

    Abstract: Embodiments of systems and methods for estimating direction of arrival are disclosed. A device includes a signal processing unit that includes processing circuitry and memory coupled to the processing circuitry, where the processing circuitry includes multiple vector processing units, each vector processing unit configured to receive an antenna input vector, receive an angular spectrum vector, retrieve a first and second weighting vectors from the memory, generate a processed antenna input vector by performing a circular convolution of the antenna input vector with the first weighting vector, generate a processed angular spectrum vector by performing a circular convolution of the angular spectrum vector with the second weighting vector, and generate a refined angular spectrum vector, which indicates angular position of one or more radar targets, by applying a non-linear activation function to a sum of the processed antenna input vector and the processed angular spectrum vector.

    RADAR COMMUNICATION WITH INTERFERENCE SUPPRESSION

    公开(公告)号:US20220349986A1

    公开(公告)日:2022-11-03

    申请号:US17245613

    申请日:2021-04-30

    Applicant: NXP B.V.

    Abstract: Aspects of the present disclosure are directed to implementations involving the transmission of radar signals and the processing of reflections of those signals as received from a target. As may be implemented with one or more embodiments, a spectrogram may be produced by converting reflections, of transmitted radar signals from a target, into a time-frequency domain using a time-frequency analysis. One or more suppression thresholds is determined for at least one frequency signal in the spectrogram, based on frequency characteristics of the converted reflections. A range response is constructed, characterizing the target and having interference signals removed in the time-frequency domain, by converting (into the range response) selected ones of the frequency signals in the spectrogram having a magnitude within the suppression threshold.

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