RADAR COMMUNICATIONS WITH OFFSET CHIRP INTERVAL TIME

    公开(公告)号:US20220276338A1

    公开(公告)日:2022-09-01

    申请号:US17186750

    申请日:2021-02-26

    Applicant: NXP B.V.

    Abstract: Aspects of the present disclosure are directed toward apparatuses and/or methods involving the communication of radar signals. Certain aspects involve communicating time division multiplexing (TDM) multi-input multi-output (MIMO) radar signals, having pulses with a chirp interval time (CIT) that is different for respective chirps. Positional characteristics of a target may be ascertained based upon both the CIT between each chirp in the communicated radar signals and the time between each corresponding chirp in received ones of the signals reflected by the target. Communication of the radar signals may involve utilizing a combination of antennas to provide a virtual aperture.

    RADAR-BASED DETECTION USING ANGLE OF ARRIVAL ESTIMATION BASED ON PRUNED SPARSE LEARNING OF SUPPORT VECTOR

    公开(公告)号:US20250155570A1

    公开(公告)日:2025-05-15

    申请号:US17185084

    申请日:2021-02-25

    Applicant: NXP B.V.

    Abstract: In various examples, a radar system includes a logic circuit with a memory 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 estimate includes: iteratively updating a set of parameters associated with previous values of the support vector including a covariance estimate, and a statistical expectation among a plurality of support vectors; and pruning, for each iterative update, certain of the plurality of support vectors having amplitudes which are insignificant relative to the statistical expectation of the support vector of in a preceding iteration.

    Frequency and time offset modulation (FANTOM) chirp MIMO automotive radar with N-path notch filter

    公开(公告)号:US11994611B2

    公开(公告)日:2024-05-28

    申请号:US17491596

    申请日:2021-10-01

    Applicant: NXP B.V.

    CPC classification number: G01S7/292 G01S7/354

    Abstract: A radar system, apparatus, architecture, and method are provided with a transmitter that produces a plurality of distinct FanTOM signals that are transmitted as N RF-encoded transmit signals in an overlapped fashion such that the pulse repetition interval and frame length are kept short; a receiver that processes target return signals reflected from the N RF-encoded transmit signals with a mixer to produce an IF signal which is filtered with one or more notch filters clocked with a sampling clock frequency to control harmonic notch frequencies to suppress transmitter spill-over and close-in self-clutter interference, thereby producing a filtered IF signal that is converted to a digital signal with an analog-to-digital converter that is clocked with the sampling clock frequency; and a radar processor that processes the digital signal to generate a range spectrum comprising N segments that correspond, respectively, to the N RF-encoded transmit signals.

    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 COMMUNICATIONS WITH OVERSAMPLING

    公开(公告)号:US20220390555A1

    公开(公告)日:2022-12-08

    申请号:US17329470

    申请日:2021-05-25

    Applicant: NXP B.V.

    Abstract: Aspects of the disclosure are directed to apparatuses, systems and methods for radar processing. As may be implemented in accordance with one or more aspects herein, an apparatus may include receiver circuitry to receive and sample radar signals reflected from a target, and processing circuitry to carry out the following. Representations of the reflections are transformed into the time-frequency domain where they are oversampled. The oversampled representations of the reflections are inversely transformed to provide resampled reflections. Positional characteristics of the target may then be ascertained by constructing a range response characterizing the target based on the resampled reflections.

    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.

    HYBRID RANDOM TIME DIVISION MULTIPLEXING (RTDM) DOPPLER DIVISION MULTIPLEXING (DDM) MULTIPLE-INPUT MULTIPLE-OUTPUT (MIMO) RADAR SYSTEM AND METHOD

    公开(公告)号:US20250116755A1

    公开(公告)日:2025-04-10

    申请号:US18483115

    申请日:2023-10-09

    Applicant: NXP B.V.

    Abstract: A radar system and methods of operating radar system are provided. The radar system includes transmitter groups, each including transmitter modules, configured to transmit multiple transmit signals in accordance with a Random Time Division Multiplexing (RTDM)-Doppler Domain Multiplexing (DDM) scheme, a receiver modules configured to receive reflections of the transmit signals reflected by at least one object and to generate digital signals based on the received reflections, and a controller that includes a signal processor configured to generate multiple range-Doppler antenna cubes (RDACs) based on the reflections of the plurality of transmit signals, each of the multiple RDACs corresponding to a respective transmitter group of the transmitter groups, generate a combined range-Doppler map (RDM) by integrating the multiple RDACs, and generate object position data based on the combined RDM.

    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.

    DEEP NEURAL NETWORK MODEL COMPRESSION
    30.
    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.

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