Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of detecting human vital signs in the presence of body motion. In particular, a radar system includes a body-motion filter module that employs machine learning to filter body motion from a received radar signal and construct a filtered signal that includes information regarding a user's vital signs. With machine learning, the radar system can filter the body motion without relying on data from other sensors to determine the body motion. Furthermore, the body-motion filter module can be trained to compensate for a variety of different types of body motions, such as those that occur while a user sleeps, exercises, drives, works, or is treated by a medical professional. By filtering the body motion, the radar system can accurately determine the user's vital signs and provide non-contact human vital-sign detection.

Abstract: Various embodiments wirelessly detect micro gestures using multiple antenna of a gesture sensor device. At times, the gesture sensor device transmits multiple outgoing radio frequency (RF) signals, each outgoing RF signal transmitted via a respective antenna of the gesture sensor device. The outgoing RF signals are configured to help capture information that can be used to identify micro-gestures performed by a hand. The gesture sensor device captures incoming RF signals generated by the outgoing RF signals reflecting off of the hand, and then analyzes the incoming RF signals to identify the micro-gesture.

Abstract: This document describes techniques and systems that enable a mobile device-based radar system for applying different power modes to a multi-mode interface. The techniques and systems include a user device having a radar system, and an interaction manager. The radar system generates a radar field, provides radar data, and operates at one of various different radar-power states. The user device analyzes the radar data to detect a presence or movement of a user within the radar field. Responsive to the detection, the radar system changes from a first radar-power state to a second radar-power state. Based on this change, the interaction manager selects a power mode, for a multi-mode interface, that corresponds to the second radar-power state, and applies the selected power mode to the multi-mode interface to provide a corresponding display via a display device.

Abstract: Techniques and apparatuses are described that enable power management using a low-power radar. The described techniques enable a radar system to reduce overall power consumption, thereby facilitating incorporation and utilization of the radar system within power-limited devices. In one aspect, the radar system can replace other power-hungry sensors and provide improved performance in the presence of different environmental conditions, such as low lighting, motion, or overlapping targets. In another aspect, the radar system can cause other components within the electronic device to switch to an off-state based on detected activity in an external environment. By actively switching the components between an on-state or the off-state, the radar system enables the computing device to respond to changes in the external environment without the use of an automatic shut-off timer or a physical touch or verbal command from a user.

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.

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.

Abstract: Techniques and apparatuses are described that enable radar attenuation mitigation. To improve radar performance, characteristics of an attenuator and/or properties of a radar signal are determined to reduce attenuation of the radar signal due to the attenuator and enable a radar system to detect a target located on an opposite side of the attenuator. These techniques are beneficial in situations in which the attenuator is unavoidably located between the radar system and a target, either due to integration within other electronic devices or due to an operating environment. These techniques save power and cost by reducing the attenuation without increasing transmit power or changing material properties of the attenuator.

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.

Abstract: Systems and methods of capturing images are disclosed. For instance, a plurality of position signals associated with a mobile computing device can be received, the plurality of position signals can be obtained at least in part using one or more sensors implemented within the mobile computing device. A relative motion between the mobile computing device and a scattering point associated with a target can be determined. A plurality of return signals reflected from the scattering point can be received. Each return signal can correspond to a pulse transmitted by the mobile computing device. A target response associated with the scattering point can be determined based at least in part on the relative motion between the mobile computing device and the scattering point.

Abstract: This document describes techniques for radio frequency (RF) based micro-motion tracking. These techniques enable even millimeter-scale hand motions to be tracked. To do so, radar signals are used from radar systems that, with conventional techniques, would only permit resolutions of a centimeter or more.

Abstract: Various embodiments wirelessly detect micro gestures using multiple antenna of a gesture sensor device. At times, the gesture sensor device transmits multiple outgoing radio frequency (RF) signals, each outgoing RF signal transmitted via a respective antenna of the gesture sensor device. The outgoing RF signals are configured to help capture information that can be used to identify micro-gestures performed by a hand. The gesture sensor device captures incoming RF signals generated by the outgoing RF signals reflecting off of the hand, and then analyzes the incoming RF signals to identify the micro-gesture.

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.

Abstract: Techniques and apparatuses are described that enable full-duplex operation for radar sensing using a wireless communication chipset. A controller initializes or controls connections between one or more transceivers and antennas in the wireless communication chipset. This enables the wireless communication chipset to be used as a continuous-wave radar or a pulse-Doppler radar. By utilizing these techniques, the wireless communication chipset can be re-purposed or used for wireless communication or radar sensing.

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.

Abstract: Techniques and apparatuses are described that enable radar attenuation mitigation. To improve radar performance, characteristics of an attenuator and/or properties of a radar signal are determined to reduce attenuation of the radar signal due to the attenuator and enable a radar system to detect a target located on an opposite side of the attenuator. These techniques are beneficial in situations in which the attenuator is unavoidably located between the radar system and a target, either due to integration within other electronic devices or due to an operating environment. These techniques save power and cost by reducing the attenuation without increasing transmit power or changing material properties of the attenuator.

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.

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.

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.

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.

Abstract: A gesture detection system uses two radar tones to concurrently detect absolute distance and relative movement of a target object. A radar-based detection device alternates transmitting a first radar tone and a second radar tone via a radar-emitting device, and then captures a first return signal and a second return signal that are generated by the first radar tone and second radar tone reflecting off the target object. The radar-based detection device demodulates the return signals into a first set of quadrature signals and a second set of quadrature signals and, in some cases, generates a first set of digital samples and second set of digital samples from the respective quadrature signals. Various aspects process the first set of digital samples and second set of digital samples to concurrently identify absolute distance and relative movement and, at times, determine an in-the-air gesture performed by the target object.