Beam Shaping Array for Compact Dual-Range Automotive Radar

    公开(公告)号:US20230204748A1

    公开(公告)日:2023-06-29

    申请号:US17564826

    申请日:2021-12-29

    Applicant: NXP B.V.

    CPC classification number: G01S13/424 G01S13/931 H01Q1/3233 G01S2013/93271

    Abstract: A vehicle radar system, apparatus and method use a radar control processing unit to control an RF transmitter unit to generate a radiated beam by a long and medium range radar (LMRR) beam shaping antenna array which has a range coverage pattern with more power concentrated along a central direction axis for long range detection and less power spread off to sides of the central direction axis for medium range detection, wherein the LMRR beam shaping antenna array includes a plurality of transmit radiator elements stacked over a power dividing feeding network and separated by a conductive coupling aperture layer comprising a plurality of coupling apertures such that each transmit radiator element is aligned through a corresponding coupling aperture to a corresponding feeding line conductor from the power dividing feeding network.

    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.

    LINEAR CHIRP AUTOMOTIVE RADAR USING MILLIMETER WAVE METAMATERIAL ANTENNAS

    公开(公告)号:US20230280446A1

    公开(公告)日:2023-09-07

    申请号:US17685668

    申请日:2022-03-03

    Applicant: NXP B.V.

    CPC classification number: G01S7/282 G01S7/414 G01S13/89

    Abstract: A linear chirp radar system, apparatus and method use a radar control processing unit to control an LFM radar front end which includes a frequency-scanning transmit antenna and a frequency-scanning receive antenna which respectively sweep a transmit and receive energy focus across an angle space with each linear chirp signal, where the radar control processing unit processes digital output signals generated from target return signals received in response to transmitted linear chirp signals and extracts target range-angle information by applying time-frequency analysis processing to the digital output signals to generate a first range-angle map which includes range-biased angle information, and then applying a group delay compensation process to generate a second range-angle map which includes target range-angle information that is generated by selectively adjusting the range-biased angular information in the first range-angle map with an angular adjustment.

    Radar communication with disparate pulse repetition frequency groups

    公开(公告)号:US12123970B2

    公开(公告)日:2024-10-22

    申请号:US17484119

    申请日:2021-09-24

    Applicant: NXP B.V.

    CPC classification number: G01S7/354 G01S13/584 G01S7/356

    Abstract: Aspects of the present disclosure are directed to radar and radar processing. As may be implemented in accordance with one or more embodiments involving multi-input multi-output (MIMO) co-prime radar signals transmitted by a plurality of transmitters and reflected from at least one target, the reflected radar signals are processed by resolving ambiguities associated with a range-Doppler detection based on unique pulse repetition frequencies (PRF)s associated with respective chirp groups of the reflected radar signals. Phase compensation is applied to compensate for motion-induced phased biases and, thereafter, Doppler estimates are reconstructed to provide a dealiased version of the reflected radar signals.

    AUTOMOTIVE RADAR WITH RANGE MIGRATION MITIGATION CAPABILITY

    公开(公告)号:US20230324509A1

    公开(公告)日:2023-10-12

    申请号:US17715520

    申请日:2022-04-07

    Applicant: NXP B.V.

    CPC classification number: G01S7/354 G01S7/356 G01S13/584 G01S13/931

    Abstract: A linear chirp radar system, apparatus and method use a radar control processing unit to control an LFM radar front end which generates analog-to-digital (ADC) sample signals from one or more target return signals received in response to transmitted linear chirp radar signals, where the radar control processing unit is connected and configured to mitigate range migration by directly filtering the ADC samples using a modified Doppler filter that is tuned to fast-time scaled, slow-time frequencies to generate a focused ADC Doppler cube, and by applying a Fourier Transform on each Doppler cell in the focused ADC Doppler cube to generate a focused range-Doppler cube.

    DEEP NEURAL NETWORK MODEL COMPRESSION
    7.
    发明公开

    公开(公告)号:US20240289618A1

    公开(公告)日:2024-08-29

    申请号:US18176216

    申请日:2023-02-28

    Applicant: NXP B.V.

    CPC classification number: G06N3/082 G06N3/0464 G06N3/084

    Abstract: Various embodiments relate to a system and method of pruning a machine learning model, including: training the machine learning model using training input data; calculating alpha values for different parts of the machine learning model based on gradients used in training the machine learning model wherein the alpha values are an importance metric; accumulating the calculated alpha values across training iterations; and pruning the machine learning model based upon the accumulated alpha values.

    RADAR COMMUNICATION WITH DISPARATE PULSE REPETITION FREQUENCY GROUPS

    公开(公告)号:US20230095228A1

    公开(公告)日:2023-03-30

    申请号:US17484119

    申请日:2021-09-24

    Applicant: NXP B.V.

    Abstract: Aspects of the present disclosure are directed to radar and radar processing. As may be implemented in accordance with one or more embodiments involving multi-input multi-output (MIMO) co-prime radar signals transmitted by a plurality of transmitters and reflected from at least one target, the reflected radar signals are processed by resolving ambiguities associated with a range-Doppler detection based on unique pulse repetition frequencies (PRF)s associated with respective chirp groups of the reflected radar signals. Phase compensation is applied to compensate for motion-induced phased biases and, thereafter, Doppler estimates are reconstructed to provide a dealiased version of the reflected radar signals.

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