A computer includes a processor and a memory, the memory storing instructions executable by the processor to arrange data collected by a plurality of sequentially arranged emitters in a sensor according to a nonsequential numerical order of the emitters, transmit the nonsequential numerical order to a vehicle computer according to a secure protocol, and transmit the data to the vehicle computer.

Radar level gauge for measuring the volume of bulk products in tanks comprises a level sensor, a primary antenna, a microwave module, a software module, an interface converter and a control unit, and further comprises at least two supplementary antennas with microwave modules; two switches that are structurally joined with the primary antenna and the microwave module into a multichannel transceiver module (TRM) having a signal output connected to the level sensor, and a monitoring output connected to input of the control unit, a control input and a channel number selection input of the multichannel MRP being connected to respective outputs of the control unit.

Provided is a radar device that can acquire three-dimensional information while mitigating an increase in the complexity and size of the device structure. A radar device 100 comprises: an antenna 110 having frequency characteristics in which the emission angle of the elevation angle direction changes according to the supplied frequency; a transmission signal formation unit (control/processing unit 101, oscillator 102, amplifier 103) that supplies a chirp signal to the antenna 110; and a reception processing unit (control/processing unit 101) that acquires a detection point for each frequency band using a reception signal for a transmission signal of each frequency band included in the chirp signal, and that acquires information regarding the height direction on the basis of the presence or absence of the detection points across a plurality of frequency bands.

This document describes techniques and systems that enable a radar system facilitating ease and accuracy of user interactions with a user interface. The techniques and systems can be implemented in an electronic device, such as a smartphone, and use a radar field to accurately determine three-dimensional (3D) gestures that can be used in combination with other inputs, such as touch or voice inputs, to interact with the user interface. These techniques allow the user to make 3D gestures from a distance and enable seamless integration of touch and voice commands with 3D gestures to improve functionality and user enjoyment.

In some examples, a system includes a weather radar device configured to transmit radar signals, receive first reflected radar signals at a first time, and receive second reflected radar signals at a second time. In some examples, the system also includes processing circuitry configured to determine a first magnitude of reflectivity based on the first reflected radar signals and determine a second magnitude of reflectivity based on the second reflected radar signals. In some examples, the processing circuitry is also configured to determine a temporal variance in reflectivity magnitudes based on determining a difference in reflectivity between the first magnitude and the second magnitude. In some examples, the processing circuitry is further configured to determine a presence of ice crystals based on the first magnitude of reflectivity, the second magnitude of reflectivity, and the temporal variance in reflectivity magnitudes.

In some examples, a system is configured for determining an estimated altitude of a melting layer, and the system includes a weather radar device configured to transmit radar signals and receive reflected radar signals. In some examples, the system also includes processing circuitry configured to determine the estimated altitude of the melting layer based on the reflected radar signals.

This document describes techniques and systems that enable a smartphone-based radar system facilitating ease and accuracy of user interactions with a user interface. The techniques and systems can be implemented in an electronic device, such as a smartphone, and use a radar field to accurately determine three-dimensional (3D) gestures that can be used in combination with other inputs, such as touch or voice inputs, to interact with the user interface. These techniques allow the user to make 3D gestures from a distanceand enable seamless integration of touch and voice commands with 3D gestures to improve functionality and user enjoyment.

A radar system for the detection of drones, including a transmitter, a receiver and a processor, wherein the processor is arranged to process demodulated return signals in a first process using a Doppler frequency filter, and to store locations of any detections therefrom, and to process the demodulated signals in a second process to look for signal returns indicative of a preliminary target having a rotational element at a location, and should a detection be found in the second process, to then attempt to match a location of the preliminary target with returns from the first process, and to provide a confirmed detection if a location of a detection from the first process matches with the location of a detection from the second process. The disclosed subject matter enables improved detection rates for drones, by looking for outputs from both the first and second processes.

A method for using a radar assembly to sense an environment includes a radar system that has an antenna assembly secured for 360-degree rotation, the antenna assembly having mounted thereon at least one transmit antenna, and a first set of three or more separate fixed receive antennas, with the antenna assembly having a greater width than height so as to create a fanbeam. In the method of the present invention, the antenna assembly is rotated to a first azimuth position, and then an FMCW waveform is transmitted within the fanbeam, and reflections are received from targets in the environment while in the first azimuth position. Based on the received reflections, data is processed and stored. These steps are repeated for all other azimuths until an azimuth sweep has been completed. At that time, a full environmental data set is compiled for the environment, where the data set comprises azimuth data, range data, elevation data and RCS data. The data set is gathered and delivered to a controller for analysis.

A computer includes a processor and a memory, the memory storing instructions executable by the processor to arrange data collected by a plurality of sequentially arranged emitters in a sensor according to a nonsequential numerical order of the emitters, transmit the nonsequential numerical order to a vehicle computer according to a secure protocol, and transmit the data to the vehicle computer.