A method for analyzing the resolution and/or the accuracy of a transmission unit of a radar sensor is described wherein a transmitter signal is received via a receiving unit. At least one echo signal based on said received signal is simulated. The frequency difference of said transmitter signal and said echo signal is determined. Said frequency difference is filtered and transformed in order to obtain a transform. At least one maximum of said frequency difference in said transform is detected. Spectral properties of said frequency difference in said transform are determined. At least one quality parameter of said spectral properties is outputted. Further, a radar sensor is described.

The present disclosure relates to a radar emulator for testing a radar sensor. The radar emulator comprises a radar signal receiver configured to receive a radar signal having at least one characteristic. The radar emulator has a radar signal processor configured to process the radar signal received. The radar emulator has a response signal generator configured to generate a response signal to the radar signal received. The radar emulator has an interference signal generator configured to generate an interference signal that is synchronized with the response signal in time. The radar emulator has an adder configured to combine the interference signal and the response signal in order to obtain a combined output signal that comprises the response signal generated and the interference signal generated. Further, a method of testing a radar sensor is disclosed.

A method involving a serial interconnection system having a first node, a second node, a plurality of calibration nodes that are electrically connected in series by the serial interconnection system, and a plurality of connection nodes corresponding to the plurality of serially connected calibration nodes and electrically connected in series by the serial interconnection system, the method involving: for each of the plurality of calibration nodes performing a measurement procedure involving: injecting a corresponding reference signal into that calibration node; and while the corresponding reference signal is being injected into that calibration node, determining a summation of the phases of signals appearing at the first and second nodes; from the determined phase summations for the plurality of calibration nodes, computing phase corrections for each of the plurality of calibration nodes; and applying the phase corrections to the corresponding plurality of connection nodes.

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 system is provided that includes a receive channel configured to receive a reflected signal and to generate a first digital intermediate frequency (IF) signal based on the reflected signal, a reference receive channel configured to receive a reflected signal and to generate a second digital IF signal based on the reflected signal, and digital mismatch compensation circuitry coupled to receive the first digital IF signal and the second digital IF signal, the digital mismatch compensation circuitry configured to process the first digital IF signal and the second digital IF signal to compensate for mismatches between the receive channel and the reference receive channel.

A computer-implemented method for generating a radio frequency (FR) waveform scenario file format. The method includes acquiring raw data from at least one source, extracting a radar data from the raw data, parsing a radar profile from the radar data, storing the radar profile, and converting the radar profile to a radio frequency (RF) waveform scenario file format. The method may also include using known radar profiles to provide an approximation of a complete radar profile when the raw data is incomplete.

In described examples, a frequency modulated continuous wave (FMCW) radar includes a reference clock, a phase locked loop (PLL), a pulse generator, a counter, a chirp ramp control circuit, and a synchronization state machine. The reference clock generates a reference clock signal. The PLL generates a feedback clock signal in response to the reference clock signal, and an output signal in response to the feedback clock signal. The pulse generator outputs a chirp start pulse in response to the reference clock signal. The counter increments a count in response to the feedback clock signal. The synchronization state machine provides a chirp ramp signal to a chirp ramp control circuit in response to the reference clock signal, the feedback clock signal, the chirp start pulse, and the count. The chirp ramp control circuit causes the PLL to ramp a frequency of the output signal in response to the chirp ramp signal.

A simulation system may generate radar data for synthetic simulations of autonomous vehicles by determining and applying radar masks for object radar data based on the attributes of simulated objects. A simulation system may determine a simulated object within a region of a simulated environment, and may apply a radar mask to determine the radar data within the region based on attributes of the simulated object. Such attributes may include the material properties, object type, and/or distance of the simulated object from the simulation sensors. Radar masks may be determining using masking percentages based on combinations of object attributes, and masks may be applied individually or by combining multiple masks for multiple occluding objects, in order to more accurately simulate the behavior of real-world radar signals in autonomous vehicle simulations.

A test device for testing a distance sensor that operates using electromagnetic waves, said test device comprising: a receiving element for receiving an electromagnetic free-space wave as a received signal with a reception frequency and a signal bandwidth. An emission element emits an electromagnetic output signal. During a simulation operation, the received signal or a received signal derived from the received signal is converted into a sampled signal by an analog-to-digital converter. The sampled signal is time-delayed using a signal processing unit to form a time-delayed sampled signal. The time-delayed sampled signal is converted into a simulated reflection signal by a digital-to-analog converter. The simulated reflection signal or a simulated reflection signal derived from the simulated reflection signal is emitted as an output signal by the emission element.

The present disclosure relates to a radar emulator for testing a radar sensor. The radar emulator comprises a radar signal receiver configured to receive a radar signal having at least one characteristic. The radar emulator has a radar signal processor configured to process the radar signal received. The radar emulator has a response signal generator configured to generate a response signal to the radar signal received. The radar emulator has an interference signal generator configured to generate an interference signal that is synchronized with the response signal in time. The radar emulator has an adder configured to combine the interference signal and the response signal in order to obtain a combined output signal that comprises the response signal generated and the interference signal generated. Further, a method of testing a radar sensor is disclosed.