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.

In accordance with an example implementation of this disclosure, a multifunction radar transceiver comprises a transmitter and a receiver. The transmitter is operable to modulate data onto a first radar burst, beamform the first radar burst, and transmit the first radar burst via a plurality of antenna elements. The receiver is operable to receive a reflection of the first radar burst, perform beamforming of the reflection of the first radar burst, demodulate the first radar burst to recover the data modulated on the first radar burst, and determine characteristics of an object off of which the first radar burst reflected based on characteristics of the reflection of the first radar burst.

A system comprises a multifunction radar receiver that in turn comprises processing circuitry and front-end circuitry. The front-end circuitry is operable to receive a millimeter wave burst via a plurality of antennas to generate a plurality received signals. The processing circuitry is operable to receive a first scene representation that is an aggregate of scene representations generated by one or more other radar receivers. The processing circuitry is operable to process the received signals to generate a second scene representation. The processing circuitry is operable to compare the first scene representation and the second scene representation and generate a difference scene based on the comparison. The processing circuitry is operable to generate a control signal based on the difference scene.

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.

A method includes generating a target map indicative of objects around the vehicle using sensor data from sensor circuitry of the vehicle, the sensor circuitry including at least one radar sensor; and determining, by processing circuitry, if the vehicle is being towed away. Determining if the vehicle is being towed away can include comparing the target map to a previously obtained target map, determining if the vehicle is moving based on the comparison, and in response to determining the vehicle is moving, outputting an alarm message indicative of the vehicle being towed away.

In accordance with various embodiments, methods, systems, and vehicles are provided for determining an environment of vehicles. In one embodiment, a vehicle includes a body, a plurality of sensors, and a processor. The plurality of sensors are disposed onboard the vehicle, and is configured to at least facilitate transmitting signals from a vehicle and receiving return signals at the vehicle after the transmitted signals have contacted one or more objects. The processor is disposed onboard the vehicle, and is coupled to the plurality of sensors. The processor is configured to at least facilitate identifying one or more parameters of the return signals; comparing the one or more parameters with historical data stored in a memory; and determining an environment of the vehicle based at least in part on the comparison of the one or more parameters with the historical data.

Each of a plurality of signal measurement circuits is included in a terminal. Each measurement circuit receives a signal from a transmitter in a satellite and measures characteristics of the signal. A computer is programmed to receive data from the signal measurement circuits. The data indicates characteristics of the signal, including a strength of the signal. The computer determines an initial estimated satellite pointing direction, and generates subsequent estimated satellite pointing directions. For the initial and subsequent estimated pointing directions, the strength of the signal received by each measurement circuit is compared with an expected strength of the signal based on the respective estimated pointing direction. Each subsequent estimate is based at least in part on the comparison of the immediately preceding estimate. Based on the comparisons, the computer estimates a current satellite pointing direction.

A system (100) for subject (50) detection is disclosed. The system (100) comprises a plurality of radar systems (21, 31). Each radar system (21, 31) comprises an antenna configured to transmit an electromagnetic signal and to detect reflections of the electromagnetic signal and determine a plurality of data points corresponding with the position of reflectors. The system also comprises a processor (10) configured to receive the plurality of data points from each radar system (21. 31), and to process the data points to detect and/or track a subject (50) therefrom. Each of the radar systems (21, 31) has a boresight (22, 32), corresponding with an axis of maximum antenna gain for the electromagnetic signal. The plurality of radar systems (21, 31) comprises a first radar system (21) with a first boresight (22) and a second radar system (31) with a second boresight (32). The first boresight (22) is at an angle of at least 25 degrees to the second boresight (32).

Tracking aircraft in and near a ramp area is described herein. One method includes receiving camera image data of an aircraft while the aircraft is approaching or in the ramp area, receiving LIDAR/Radar sensor data of an aircraft while the aircraft is approaching or in the ramp area, merging the camera image data and the LIDAR/Radar sensor data into a merged data set, and wherein the merged data set includes at least one of: data for determining the position and orientation of the aircraft relative to the position and orientation of the ramp area, data for determining speed of the aircraft, data for determining direction of the aircraft, data for determining proximity of the aircraft to a particular object within the ramp area, and data for forming a three dimensional virtual model of at least a portion of the aircraft from the merged data.

The present invention relates to a method of estimating a velocity magnitude of a moving target in a horizontal plane using radar signals received by a radar detection system, the radar detection system being configured to resolve multiple dominant points of reflection, i.e. to receive a plurality of radar signals from the moving target in a single measurement instance of a single, wherein each of the resolved points of reflection is described by data relating to a range, an azimuth angle and a raw range rate of the points of reflection in said single radar measurement instance. The invention further relates to a radar detection system.