Radar System to Jointly Detect Direction-of-Arrival and Direction-of-Departure Angles in Multipath Scenarios

    公开(公告)号:US20240241243A1

    公开(公告)日:2024-07-18

    申请号:US18155722

    申请日:2023-01-17

    CPC classification number: G01S13/42 G01S7/03 G01S13/931

    Abstract: This document describes techniques and systems to enable a radar system to jointly detect DoA and DoD angles in multipath scenarios. In some examples, an automotive radar system includes one or more processors. The processors obtain electromagnetic (EM) energy reflected by objects and generate, based on the reflected EM energy, a two-dimensional (2D) data matrix. The 2D data matrix has a number of rows corresponding to the number of antenna elements in a transmitter array and a number of columns corresponding to the number of antenna elements in a receiver array. Using the 2D data matrix, the processors can determine DoA estimates and DoD estimates in both monostatic and bistatic reflection scenarios. By comparing the DoA estimates to the DoD estimates, the processors determine angles associated with the objects with improved angular resolution and reduced cost.

    Multiple-Target, Simultaneous Beamforming for Four-Dimensional Radar Systems

    公开(公告)号:US20240103151A1

    公开(公告)日:2024-03-28

    申请号:US17933265

    申请日:2022-09-19

    Abstract: This document describes techniques and systems of multiple-target, simultaneous beamforming for four-dimensional (4D) radar systems for efficient angle estimation in two dimensions with a high dynamic range. For example, a processor can use electromagnetic (EM) energy received by a two-dimensional (2D) array to determine first angles in a first dimension associated with one or more objects. The processor can then determine a subspace projection matrix using the first angles without an estimate of the power of noise or interference signals in the received EM energy. Using the subspace projection matrix, the processor can determine an interference-orthogonal subspace projection-based beamformer. With the interference-orthogonal subspace projection-based beamformer, the processor can determine the desired signal output from an adaptive beamformer for the EM energy and second angles corresponding to respective first angles for the objects.

    Radar System with Sequential Two-Dimensional Angle Estimation

    公开(公告)号:US20230228845A1

    公开(公告)日:2023-07-20

    申请号:US17652625

    申请日:2022-02-25

    CPC classification number: G01S7/4021 G01S13/42 G01S13/931 G01S13/878 H01Q21/08

    Abstract: This document describes techniques and systems of a radar system with sequential two-dimensional (2D) angle estimation. The radar system can efficiently estimate angles in two dimensions for detections. For example, a radar system includes a processor and an antenna that can receive electromagnetic energy reflected by one or more objects. The antenna includes a 2D array that includes antenna elements positioned in a first dimension and a second dimension. The processor can determine, using electromagnetic energy received by the 2D array, first angles in the first dimension associated with a detection of the one or more objects. The processor can then steer the 2D array to the first angle to generate a steered 1D array for each first angle. Using the steered 1D array, the processor can determine second angles associated with the first angle for the detection.

    Multi-Channel Joint Interference Mitigation
    4.
    发明公开

    公开(公告)号:US20230176177A1

    公开(公告)日:2023-06-08

    申请号:US17652634

    申请日:2022-02-25

    CPC classification number: G01S7/0236 G01S13/931

    Abstract: This document describes techniques, apparatuses, and systems for multi-channel joint interference mitigation. Radar radiation received by a radar system may include interference from other nearby radar systems. The interference can result in reduced sensitivity of the radar system. The techniques, apparatuses, and systems described herein mitigate the interference by identifying a set of samples of the radar radiation with interference. The interference can be estimated and mitigated by comparing this set (e.g., with interference) to a set of samples without interference and suppressing the interference without suppressing the detected signal. Further, the interference can be analyzed to determine if the interference contains detection information of one or more objects (e.g., other vehicles with radar systems causing interference). In this manner, interference mitigation may be obtained without losing information included in the set of samples including interference.

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