The present disclosure relates to apparatuses and methods for a radar device. For example, an antenna device has a first set of antennas to establish first propagation channels and a second set of antennas to establish second propagation channels. A signal processing device determines a first differential phase shift among first radar signals propagating via the first propagation channels and a second differential phase shift among second radar signals propagating via the second propagation channels. Antennas of the first set are located at positions that generate the first differential phase shift for a first multitude of target angles, and antennas of the second set are located at positions that generate the second differential phase shift for a second multitude of target angles. The processing device determines an angular position of a target object as a unique target angle that is part of the first and second multitude of target angles.

The present disclosure relates to apparatuses and methods for a radar device. For example, an antenna device has a first set of antennas to establish first propagation channels and a second set of antennas to establish second propagation channels. A signal processing device determines a first differential phase shift among first radar signals propagating via the first propagation channels and a second differential phase shift among second radar signals propagating via the second propagation channels. Antennas of the first set are located at positions that generate the first differential phase shift for a first multitude of target angles, and antennas of the second set are located at positions that generate the second differential phase shift for a second multitude of target angles. The processing device determines an angular position of a target object as a unique target angle that is part of the first and second multitude of target angles.

The invention relates to a method (for determining calibration data for an airborne goniometry apparatus comprising an antenna array of several antennas, from several sets of calibration data measured in-flight by said goniometry apparatus, each associated with a measured angular position and comprising an amplitude datum and a phase datum measured by each antenna in said antenna array at said measured position.

The method comprises, for an estimated angular position, a phase (200) of calculating an estimated calibration data set and comprising the following steps: for each measured position, normalizing (204) the data set measured at said measured position, with respect to the phase data measured by each antenna, said normalizing providing as many normalized data sets as there are antennas for each measured position; for each antenna, calculating (206) a candidate data set by interpolating the measured data sets at said measured positions and previously normalized with respect to the phase measured by said antenna; selecting (210), as the estimated calibration data set, the candidate data set whose phase reference has the highest energy among said candidate data sets.

It also concerns a computer program and an apparatus implementing such a method, a calibration table obtained by such a method and a goniometry apparatus calibrated with such a method.

The invention relates to a method (for determining calibration data for an airborne goniometry apparatus comprising an antenna array of several antennas, from several sets of calibration data measured in-flight by said goniometry apparatus, each associated with a measured angular position and comprising an amplitude datum and a phase datum measured by each antenna in said antenna array at said measured position.

The method comprises, for an estimated angular position, a phase (200) of calculating an estimated calibration data set and comprising the following steps: for each measured position, normalizing (204) the data set measured at said measured position, with respect to the phase data measured by each antenna, said normalizing providing as many normalized data sets as there are antennas for each measured position; for each antenna, calculating (206) a candidate data set by interpolating the measured data sets at said measured positions and previously normalized with respect to the phase measured by said antenna; selecting (210), as the estimated calibration data set, the candidate data set whose phase reference has the highest energy among said candidate data sets.

It also concerns a computer program and an apparatus implementing such a method, a calibration table obtained by such a method and a goniometry apparatus calibrated with such a method.

A system identifies and localizes an object. The system contains a bistatic FMCW radar sensor system having two FMCW radar sensors and is configured to operate coherently or quasi-coherently and to emit a series of repeating ramp signals. An active RFID transponder is disposed on an object to be identified and to be localized and is configured to produce a modulated bistatic backscatter signal. A ramp signal sent out by the radar sensors at a ramp repetition frequency is modulated with an amplitude modulation signal, the modulation frequency is less than half the ramp repetition frequency. An evaluation unit establishes an association between a beat frequency and the modulation frequency of the active RFID transponder, which modulation frequency is already known, on the basis of the modulated bistatic backscatter signal by two Fourier transforms of the modulated backscatter signal according to the frequency and to the amplitude.

A method for evaluating an angular position of an object recognized on the basis of radar data, the radar data being ascertained by a radar device. The method includes: ascertaining of an intrinsic speed of the radar device; ascertaining a relative speed of the recognized object in relation to the radar device, using the ascertained radar data; ascertaining at least one angular test region using the ascertained intrinsic speed and the ascertained relative speed, the at least one angular test region corresponding to possible stationary objects that have a relative speed that substantially corresponds to the ascertained relative speed; and ascertaining whether an azimuth angle of the recognized object lies in the ascertained angular test region.

A method carried out using a radar level gauge system, the tank having a tank roof supporting the radar level gauge system, a tank wall, and a tank atmosphere in a space defined by a surface of a product in the tank, the tank roof, and the tank wall, wherein the method comprises generating and transmitting an electromagnetic first transmit signal; propagating the first transmit signal through the tank atmosphere towards a corner reflector formed by the surface of the product and the tank wall where the surface of the product meets the tank wall, the corner reflector being at a known horizontal distance from the radar level gauge system; receiving an electromagnetic first reflection signal resulting from reflection of the first transmit signal at the corner reflector; and performing a filling level determination and/or a verification operation for the radar level gauge system based on a timing relation between the first transmit signal and the first reflection signal, and the known horizontal distance between the radar level gauge system and the corner reflector.

An example system and method provides radiating into the 3D environment a millimeter wave (mmWave) radio frequency (RF) radiation signal that interacts with reflective surfaces, penetrable surfaces, scattering surfaces of the 3D environment, producing respective multipath components, determining information from two or more of the multipath components, including two among, or, optionally, all of angle of arrival (AoA), angle of departure (AoD), time of arrival, relative time of arrival (RTA), and phase and, based on the information and the received multipath components, performs computing the user device’s relative or absolute mobile device location in relation to the surrounding 3D environment, and providing images or video of the surrounding 3D environment to a display or a storage of the user’s mobile device, for displaying or storing.

An example system and method provides radiating into the 3D environment a millimeter wave (mmWave) radio frequency (RF) radiation signal that interacts with reflective surfaces, penetrable surfaces, scattering surfaces of the 3D environment, producing respective multipath components, determining information from two or more of the multipath components, including two among, or, optionally, all of angle of arrival (AoA), angle of departure (AoD), time of arrival, relative time of arrival (RTA), and phase and, based on the information and the received multipath components, performs computing the user device’s relative or absolute mobile device location in relation to the surrounding 3D environment, and providing images or video of the surrounding 3D environment to a display or a storage of the user’s mobile device, for displaying or storing.

In aspects of environment dead zone determination based on UWB ranging, a system includes ultra-wideband (UWB) radios associated with respective devices in an environment. An automation controller receives UWB ranging data from the UWB radios, and can monitor locations of the respective devices in the environment. The automation controller can detect a loss of coverage by a device connected in the environment, and determine a coverage dead zone within the environment at the location of the loss of coverage by the device based on the UWB ranging data. A computing device can implement the automation controller that receives the UWB ranging data from the UWB radios, and monitors the locations of the respective devices in the environment. The automation controller can detect the loss of coverage by the device, and determine the coverage dead zone within the environment at the location of the loss of coverage by the device.