Smart-Device-Based Radar System Performing Symmetric Doppler Interference Mitigation

    公开(公告)号:US20210190902A1

    公开(公告)日:2021-06-24

    申请号:US16911141

    申请日:2020-06-24

    Applicant: Google LLC

    Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of performing symmetric Doppler interference mitigation. The radar system employs symmetric Doppler interference mitigation to filter interference artifacts caused by the vibration of the radar system or the vibration other objects. This filtering operation incorporates the interference artifact within the noise floor, without significantly attenuating reflections from a desired object. This mitigation can filter each radar frame independently without a priori knowledge about the frequency or amplitude of the vibration. The filtering operation is also independent of the Doppler sampling frequency and can handle aliasing. By filtering the interference artifacts, the radar system produces fewer false detections in the presence of vibrations and can detect objects that would otherwise be masked by the interference artifact.

    Digital beamforming for radar sensing using wireless communication chipset

    公开(公告)号:US10795009B2

    公开(公告)日:2020-10-06

    申请号:US15928273

    申请日:2018-03-22

    Applicant: Google LLC

    Abstract: Techniques and apparatuses are described that enable digital beamforming for radar sensing using a wireless communication chipset. A controller initializes or causes the wireless communication chipset to use multiple receiver chains to receive a radar signal that is reflected by a target. A digital beamformer obtains baseband data from the wireless communication chipset and generates a spatial response, which may be used to determine an angular position of the target. The controller can further select which antennas are used for receiving the radar signal. In this way, the controller can further optimize the wireless communication chipset for digital beamforming. By utilizing these techniques, the wireless communication chipset can be used for wireless communication or radar sensing.

    Smartphone-based radar system detecting user gestures using coherent multi-look radar processing

    公开(公告)号:US10579154B1

    公开(公告)日:2020-03-03

    申请号:US16105958

    申请日:2018-08-20

    Applicant: Google LLC

    Abstract: Techniques and apparatuses are described that implement a smartphone-based radar system capable of detecting user gestures using coherent multi-look radar processing. Different approaches use a multi-look interferometer or a multi-look beamformer to coherently average multiple looks of a distributed target across two or more receive channels according to a window that spans one or more dimensions in time, range, or Doppler frequency. By coherently averaging the multiple looks, a radar system generates radar data with higher gain and less noise. This enables the radar system to achieve higher accuracies and be implemented within a variety of different devices. With these accuracies, the radar system can support a variety of different applications, including gesture recognition or presence detection.

    Radar Angular Ambiguity Resolution
    46.
    发明申请

    公开(公告)号:US20190187268A1

    公开(公告)日:2019-06-20

    申请号:US15844460

    申请日:2017-12-15

    Applicant: Google LLC

    CPC classification number: G01S13/426 G01S7/412 G01S13/422 G01S2013/0254

    Abstract: Techniques and apparatuses are described for radar angular ambiguity resolution. These techniques enable a target's angular position to be determined from a spatial response that has multiple amplitude peaks. Instead of solely considering which peak has a highest amplitude, the techniques for radar angular ambiguity resolution select a frequency sub-spectrum, or multiple frequency sub-spectrums, that emphasize amplitude or phase differences in the spatial response and analyze an irregular shape of the spatial response across a wide field of view to determine the target's angular position. In this way, each angular position of the target has a unique signature, which the radar system can determine and use to resolve the angular ambiguities. Using these techniques, the radar can have an antenna array element spacing that is greater than half a center wavelength of a reflected radar signal that is used to detect the target.

    Radar Modulation For Radar Sensing Using a Wireless Communication Chipset

    公开(公告)号:US20180348339A1

    公开(公告)日:2018-12-06

    申请号:US15928386

    申请日:2018-03-22

    Applicant: Google LLC

    Abstract: Techniques and apparatuses are described that enable radar modulations for radar sensing using a wireless communication chipset. A controller initializes or controls modulations performed by the wireless communication chipset. In this way, the controller can enable the wireless communication chipset to perform modulations for wireless communication or radar sensing. In some cases, the controller can further select a wireless communication channel for setting a frequency and a bandwidth of a radar signal, thereby avoiding interference between multiple radar signals or between the radar signal and a communication signal. In other cases, the controller can cause the wireless communication chipset to modulate a signal containing communication data using a radar modulation. This enables another device that receives the signal to perform wireless communication or radar sensing. By utilizing these techniques, the wireless communication chipset can be used for wireless communication or radar sensing.

    Saturation compensation using a smart-device-based radar system

    公开(公告)号:US11906619B2

    公开(公告)日:2024-02-20

    申请号:US18175753

    申请日:2023-02-28

    Applicant: Google LLC

    Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of detecting user gestures in the presence of saturation. In particular, a radar system employs machine learning to compensate for distortions resulting from saturation. This enables gesture recognition to be performed while the radar system's receiver is saturated. As such, the radar system can forgo integrating an automatic gain control circuit to prevent the receiver from becoming saturated. Furthermore, the radar system can operate with higher gains to increasing sensitivity without adding additional antennas. By using machine learning, the radar system's dynamic range increases, which enables the radar system to detect a variety of different types of gestures having small or large radar cross sections, and performed at various distances from the radar system.

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