A system simulates a moving target for a radar system under test. The system includes a Doppler simulation circuit (DSC), coupled to an input, to apply a frequency shift to RF pulses received on an RF signal to simulate speed. A signal attenuator coupled to the DSC is to simulate signal attenuation due to propagation loss of the RF pulses in atmosphere. A pulse detection circuit is to detect time of receipt of the RF pulses, including a first time of receipt of a falling edge of a first RF pulse. An I/O controller updates a value of the frequency shift for the DSC and of the signal attenuation for the signal attenuator during a time period between the first RF pulse and one of a second RF pulse or a second time at which the second RF pulse should have been received in case of a missing pulse.

Various technologies relating to a system that uses a computer-implemented model to determine optimal radar parameter settings based on the situational and environmental context of an autonomous vehicle (AV) to improve driving outcomes of the AV. Simulated sensor data corresponding to different radar parameter settings can be generated in simulation, and the computer-implemented model can be trained based on the respective sets of simulated sensor data. A radar system of an AV can be modified to operate using a radar parameter setting identified by the computer-implemented model, where the radar parameter setting is outputted by the computer-implemented model responsive to a state identified from sensor data being inputted to the computer-implemented model. The AV can use the output of the computer-implemented model to select the optimal radar parameter settings to implement.

A radar simulation device for testing a device under test with respect to at least one radar scenario is provided. The radar simulation device comprises a memory, a radar scenario simulator, and two or more antennas. The memory is configured to store the radar scenario with respect to the device under test, and to provide the radar scenario to the radar scenario simulator. The radar scenario simulator is configured to receive a first number of radar signals from the device under test via the at least two antennas, to simulate the at radar scenario by manipulating the first number of radar signals according to the radar scenario and generating a resulting second number of manipulated radar signals, and to transmit the second number of manipulated radar signals to the device under test via the at least two antennas.

A computer-implemented method for generating test data for testing a control system of a motor vehicle which evaluates a sensor data stream. Simulated driving is performed through at least part of a virtual simulation environment with a virtual vehicle carrying a virtual sensor by specifying a translational movement of the virtual vehicle in the virtual simulation environment, wherein the virtual sensor has a visual field in which it detects the virtual simulation environment. Synthetic sensor data is generated with the virtual sensor by detecting the virtual simulation environment driven through by the virtual vehicle in the visual field of the virtual sensor. The synthetic sensor data is provided as test data for testing a control system of a motor vehicle which evaluates a sensor data stream.

The invention is a radar level gauge comprising a signal generator for generating electromagnetic waves and an antenna for emitting the electromagnetic waves in a container and for receiving electromagnetic waves reflected by the container. The radar level gauge also comprises a safety device for verifying the functional capability or for improving the measuring quality of the radar level gauge, said safety device having a reflector and an adjustment device and/or a reduction device and being suitably designed to adjust the reflector and/or the reduction device at least between a first position and a second position, in which the reflector reflects the electromagnetic waves in a reduced manner. The adjustment device acts on the reflector and/or the reduction device in a contactless manner.

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.

A traffic radar system (TRS) utilizing an automated test process which aids the operator in quickly conducting comprehensive system tuning fork tests that includes front and rear antennas and stationary, moving opposite, and moving same-lane operations. The automated process has the ability to select the proper radar antenna and proper mode of operation for each step of the test. The process will measure the input fork signals and report if the signals are within the specified tolerance. Optionally, the process can be set to not allow the radar system to enter the normal operating mode if the tuning fork tests have not been successfully completed.

A marker used to detect an axial deviation of a radio wave axis Ar of a radar unit is provided in front of the radar unit and outside a radar field of view range set based on a filed of view angle θ of the radar unit on a vehicle. A relative position between the radar unit and the marker is different between before and after an axial deviation of the radio wave axis Ar of the radar unit occurs. Thus, an axial deviation (an amount Δ0 of axial deviation in an azimuth direction and an amount Δα of axial deviation in an elevation angle direction) of the radio wave axis Ar of the radar unit can be detected by obtaining a difference in marker detection position before and after the axial deviation by the radar unit.

A device may include a receive antenna input to couple a receive chain of the device to a receive antenna. The device may include a test signal generator. The device may include a switchable impedance matching circuit coupled to the test signal generator and to the receive chain to cause an impedance matching between the test signal generator and at least one component of the receive chain to depend on an impedance of the receive antenna in an antenna monitoring phase. The antenna monitoring phase may be associated with determining an impedance mismatching of the receive antenna. The device may include a control circuit to determine the impedance mismatching of the receive antenna in the antenna monitoring phase.

A method and a radar target simulator for generating a simulated radar echo signal. A radar signal is sent with known bandwidth from a radar sensor to be tested. The radar signal is received in the radar target simulator. The radar signal is filtered via a low-pass filter with known filter curve. The frequency spectrum of the filtered radar signal over the full bandwidth of the low-pass filter is determined. A corrected frequency spectrum and the power of a radar signal corresponding to the corrected frequency spectrum are calculated. A scaled radar signal from the filtered radar signal and the radar echo signal as a reflection of the scaled radar signal are calculated. The radar echo signal is sent from a transmitting antenna of the radar target simulator to the radar sensor to be tested.