A device for calibrating a radar or an antenna and embedded on an aerial vehicle, comprising: a processing unit configured to apply a delay to an incoming electromagnetic signal, wherein the device is configured to provide said electromagnetic signal with said delay to an emitter for its back transmission, wherein the processing unit is configured to control said delay according to one or more delay values, wherein each delay value simulates a virtual range of the device or of the aerial vehicle with respect to said radar or antenna receiving said transmitted electromagnetic signal, said virtual range being different from an actual range of the device or of the aerial vehicle, for calibrating said at least one radar or antenna based on said transmitted electromagnetic signal which simulates a virtual range of the device or of the aerial vehicle with respect to said at least one radar or antenna.

A LIDAR system includes a light source configured to generate an outgoing light signal that includes multiple channels that are each of a different wavelength. The system includes optical components that generate composite light signals. Each composite light signal includes light from a LIDAR input signal combined with light from a reference signal. The LIDAR input signals each includes light that was reflected by an object located apart from the system and that was included also in one of the channels. The reference signals do not include light that was reflected by the object but include light from one of the channels. Each of the composite signals is generated such that the reference signal and the LIDAR input included in the composite signal includes light from the same channel.

A method of mitigates RF interference from an RF interferer. An RF signal is received at an RF transceiver during a time period. The RF signal that includes, for at least a portion of the time period, an interference signal having a cyclic transmission pattern with at least one deterministic feature. The received RF signal is analyzed in order to determine timing information for the at least one deterministic feature and the associated interference signal cyclic transmission pattern. Transmission of the RF signals from the RF transceiver are synchronized with the interference signal transmission pattern based on the determined timing information to mitigate interference between the RF signals and the interference signal.

A radar test computing system includes a host interface coupled to a programmable input/output (I/O) controller, which is to interface with propagation path replicator (PPR) circuitry. A processing device is to detect a start signal received from the controller; receive an update request from the controller in response to detection, by the PPR circuitry, of a first radio RF pulse on a RF signal received from the radar system; retrieve scenario data of distance to and speed of the moving target for a second RF pulse expected to follow the first RF pulse; calculate, using retrieved scenario data, values of a frequency shift, a signal delay, and a signal attenuation for the second RF pulse; and send, during a time period between the first and second RF pulses, these values to the controller for use by the PPR circuitry to simulate the moving target for the second RF pulse.

The present disclosure is directed to simulating patterns of reflected radar energy off of reference objects using motion data associated with these reference objects. This motion data may identify start times, start locations, end times, and end locations of a limited number reference objects in a set of discrete scenes. Each of these discrete scenes may also have a same time duration. Motion of these specific objects between a start time and an end time of each discrete scene may be interpolated. Once the locations of the objects are interpolated for a given scene, simulations may be performed to estimate the appearance of reflected radar signals that would be received by a radar apparatus. These simulations may identify patterns of reflected radar energy after radar signals have been emitted from the radar apparatus and these patterns may then be provided to train a machine learning apparatus.

There are provided correlation process units 5-1 (5-2, . . . , and 5-N) for performing a cross-correlation process between replicas of a plurality of mutually orthogonal transmission signals and reception signals of receiving antenna elements 3-1 (3-2, . . . , and 3-N) and outputting a plurality of signals after the cross-correlation process, and a weighting unit 6 for weighting the plurality of signals after the cross-correlation process outputted from the correlation process units 5-1 to 5-N in accordance with the arrangement of transmitting antennas 2-1 to 2-3 and the receiving antenna elements 3-1 to 3-N and an antenna directivity pattern, and a signal combination unit 10 combines the plurality of signals after the cross-correlation process that are weighted by the weighting unit 6.

A radar circuit for controlling a radar antenna in a vehicle comprises an antenna connection for connection of a radar antenna, a radar circuit for transmission and reception of a radar signal, wherein the radar circuit is connected to the antenna connection. A test circuit to test the connection of the radar antenna is provided.

The invention relates to a method for determining a deviation of a broadband measurement signal from a reference signal. The method provides the steps: subdivision of the signal into at least two measurement-signal frequency bands; displacement of the measurement-signal frequency bands; and reconstruction of the at least two measurement-signal frequency bands. A corresponding measurement device is also contained within the idea of the invention.

A LIDAR system includes a light source configured to generate an outgoing light signal that includes multiple channels that are each of a different wavelength. The system includes optical components that generate composite light signals. Each composite light signal includes light from a LIDAR input signal combined with light from a reference signal. The LIDAR input signals each includes light that was reflected by an object located apart from the system and that was included also in one of the channels. The reference signals do not include light that was reflected by the object but include light from one of the channels. Each of the composite signals is generated such that the reference signal and the LIDAR input included in the composite signal includes light from the same channel.

A method for cancelling phase noise in a radar signal is described herein. In accordance with one embodiment, the method includes transmitting an RF oscillator signal, which represents a local oscillator signal including phase noise, to a radar channel and receiving a respective first RF radar signal from the radar channel. The first RF radar signal included at least one radar echo of the transmitted RF oscillator signal. Further, the method includes applying the RF oscillator signal to an artificial radar target composed of circuitry, which applies a delay and a gain to the RF oscillator signal, to generate a second RF radar signal. The second RF radar signal is modulated by a modulation signal thus generating a frequency-shifted RF radar signal. Further, the method includes subtracting the frequency-shifted RF radar signal from the first RF radar signal.