Mobile Device-Based Radar System for Providing a Multi-Mode Interface

    公开(公告)号:US20210088643A1

    公开(公告)日:2021-03-25

    申请号:US16771647

    申请日:2019-05-20

    Applicant: Google LLC

    Abstract: This document describes techniques and systems that enable a mobile device-based radar system (104) for providing a multi-mode interface (114). A radar field (110) is used to enable a user device (102, 702) to accurately determine a presence or threshold movement of a user near the user device. The user device provides a multi-mode interface having at least first and second modes and providing a black display or a low-luminosity display in the first mode. The user device detects, based on radar data and during the first mode, a presence or threshold movement by the user relative to the user device and responsively changes the multi-mode interface from the first mode to the second mode. Responsive to the change to the second mode, the user device provides visual feedback corresponding to the implicit interaction by adjusting one or more display parameters of the black display or the low-luminosity display.

    Application-Based Signal Processing Parameters in Radar-Based Detection

    公开(公告)号:US20200278422A1

    公开(公告)日:2020-09-03

    申请号:US16875427

    申请日:2020-05-15

    Applicant: Google LLC

    Abstract: Various embodiments utilize application-based processing parameters to dynamically configure a radar-based detection system based upon an operating context of an associated device. A first application with execution priority on a device dynamically configures the radar-based detection system to emit a radar field suitable for a first operating context associated with the first application. The first application can also dynamically configure processing parameters of the radar-based detection system, such as digital signal processing parameters and machine-learning parameters. In some cases, a second application assumes execution priority over the first application, and dynamically reconfigures the radar-based detection system to emit a radar field suitable to a second operating context associated with the second application. Alternately or additionally, the second application can dynamically reconfigure the processing parameters of the radar-based detection system based upon the second operating context of the second application.

    Digital Beamforming for Radar Sensing using Wireless Communication Chipset

    公开(公告)号:US20180348353A1

    公开(公告)日:2018-12-06

    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.

    Smart-device-based radar system performing angular estimation using machine learning

    公开(公告)号:US11573311B2

    公开(公告)日:2023-02-07

    申请号:US16772760

    申请日:2019-04-02

    Applicant: Google LLC

    Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of performing angular estimation using machine learning. In particular, a radar system 102 includes an angle-estimation module 504 that employs machine learning to estimate an angular position of one or more objects (e.g., users). By analyzing an irregular shape of the radar system 102's spatial response across a wide field of view, the angle-estimation module 504 can resolve angular ambiguities that may be present based on the angle to the object or based on a design of the radar system 102 to correctly identify the angular position of the object. Using machine-learning techniques, the radar system 102 can achieve a high probability of detection and a low false-alarm rate for a variety of different antenna element spacings and frequencies.

    Mobile device-based radar system for providing a multi-mode interface

    公开(公告)号:US11550048B2

    公开(公告)日:2023-01-10

    申请号:US16771647

    申请日:2019-05-20

    Applicant: Google LLC

    Abstract: This document describes techniques and systems that enable a mobile device-based radar system (104) for providing a multi-mode interface (114). A radar field (110) is used to enable a user device (102, 702) to accurately determine a presence or threshold movement of a user near the user device. The user device provides a multi-mode interface having at least first and second modes and providing a black display or a low-luminosity display in the first mode. The user device detects, based on radar data and during the first mode, a presence or threshold movement by the user relative to the user device and responsively changes the multi-mode interface from the first mode to the second mode. Responsive to the change to the second mode, the user device provides visual feedback corresponding to the implicit interaction by adjusting one or more display parameters of the black display or the low-luminosity display.

    Smart-device-based radar system performing symmetric doppler interference mitigation

    公开(公告)号:US11175378B2

    公开(公告)日:2021-11-16

    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.

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